{
  "id": "AIBD-0142",
  "title": "ChatGPT points to a blood pressure medication behind an 18-month cough that doctors had not explained; a doctor confirms it and changes the prescription, and X user Shreya's mother may be healing",
  "summary": "ChatGPT flagged a BP drug side effect behind an 18-month cough; a doctor confirmed it and changed the drug; daughter reports mother healing.",
  "date_observed": "2025-07-23",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "On 23 July 2025 an X user posting as Shreya.tsx (@Life_of_coder, profile location “india”) wrote about her mother. Her mother had had a nonstop cough for 1.5 years. That was despite top doctors, big hospitals in and outside their city, homeopathy, ayurveda and allopathy. Internal bleeding had begun. Doctors had warned the condition could be fatal within six months. She described everything to OpenAI's ChatGPT, which listed possible causes including blood pressure medication. It asked whether the prescription contained a specific ingredient. It did. A doctor, told of this, confirmed it at once and changed the medication. Her mother was “finally healing”. Four Indian outlets reported the post on 24 July 2025. It has since been deleted.",
  "category": "benefit created",
  "unexpected": true,
  "purpose": "ChatGPT is OpenAI's general-purpose conversational assistant, not a diagnostic or drug-safety tool. Surfacing a medication side effect as the likely cause of a chronic cough was outside what it was built for. So the benefit is marked unexpected.",
  "system": "ChatGPT",
  "model_version": null,
  "developer": "OpenAI",
  "deployer": null,
  "location": null,
  "domain": "Healthcare (diagnosis; medication side effect)",
  "segment": "Consumer use by a patient's adult daughter",
  "benefit_type": "Improved Physical Health",
  "taxonomy_note": null,
  "registry_ids": {
    "oecd_aim": "2025-07-24-aae1"
  },
  "ratings": [
    {
      "group": "personal",
      "depth": 2,
      "reason": "One identifiable patient, the poster's mother, had an 18-month cough with internal bleeding that doctors had warned could become fatal. After the medication change her daughter reported her “finally healing”. Material for one person. It rates below life-changing because the recovery was in progress. Nothing beyond the daughter's post documents the diagnosis or the outcome."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "ChatGPT generated the hypothesis. Among several possible causes it listed blood pressure medication. When told the mother was on such medication, it asked whether the prescription contained a specific ingredient, which it did. The confirmation and the prescription change were made by a doctor (“He confirmed it instantly and changed the meds”). NDTV, Mint, Mashable India and the Financial Express quote a commenter. They say cough is a known side effect of BP medicine that doctors “should've checked”. That frames the contribution as surfacing a documented side effect rather than a novel diagnosis. No clinician comments on the chatbot's role. The whole sequence rests on the daughter's account."
  },
  "evidence": [
    {
      "kind": "other",
      "citation": "Shreya.tsx [@Life_of_coder] (2025). ChatGPT saved my mom. Post on X, 23 July 2025, 12:26 UTC, since deleted; X API v2 response captured by the Internet Archive at 2025-07-23 12:26:51 UTC.",
      "title": "ChatGPT saved my mom (post on X by @Life_of_coder; archived API capture with full text and author profile)",
      "url": "http://web.archive.org/web/20250723122651/https://twitter.com/Life_of_coder/status/1947996833214877981",
      "date": "2025-07-23",
      "written_by": "beneficiary",
      "quote": "We told a doctor. He confirmed it instantly and changed the meds. Now she’s finally healing."
    },
    {
      "kind": "news report",
      "citation": "Singh R. / NDTV (2025). \"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed. NDTV Offbeat, 24 July 2025.",
      "title": "\"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed",
      "url": "https://www.ndtv.com/offbeat/chatgpt-saved-my-mom-woman-claims-ai-diagnosed-her-mothers-illness-after-doctors-failed-8940203",
      "date": "2025-07-24",
      "written_by": "independent",
      "quote": "The chatbot provided a list of potential causes, including one that surprised her -- a possible side effect of her mother's blood pressure medication."
    },
    {
      "kind": "news report",
      "citation": "Thakur A. / Mint (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. Livemint, Trends.",
      "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
      "url": "https://www.livemint.com/news/trends/chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mothers-mysterious-illness-after-1-5-year-struggle-11753346497477.html",
      "date": "2025-07-24",
      "written_by": "independent",
      "quote": "Armed with this new insight, Shreya consulted their doctor, who immediately confirmed the link and changed the medication."
    },
    {
      "kind": "news report",
      "citation": "ET Online / The Economic Times (2025). Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom. ET Panache.",
      "title": "Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom",
      "url": "https://m.economictimes.com/magazines/panache/top-doctors-failed-for-18-months-then-ai-diagnosed-mystery-illness-woman-shares-how-chatgpt-healed-her-mom/articleshow/122885926.cms",
      "date": "2025-07-24",
      "written_by": "independent",
      "quote": "This time, the doctor agreed with the AI’s suggestion and immediately changed her mother’s prescription."
    },
    {
      "kind": "news report",
      "citation": "TOI Trending Desk / The Times of India (2025). 'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed. ETimes Trending.",
      "title": "'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed",
      "url": "https://timesofindia.indiatimes.com/etimes/trending/chatgpt-saved-my-mom-woman-shares-how-ai-solved-18-month-medical-mystery-that-doctors-missed/articleshow/122881542.cms",
      "date": "2025-07-24",
      "written_by": "independent",
      "quote": "To validate the suspicion, ChatGPT asked a specific question: “Is she on BP medication with this ingredient?”"
    },
    {
      "kind": "news report",
      "citation": "Singh P. / Mashable India (2025). Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year. in.mashable.com, Tech.",
      "title": "Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year",
      "url": "https://in.mashable.com/tech/97585/woman-claims-chatgpt-diagnosed-moms-illness-after-doctors-failed-for-over-a-year",
      "date": "2025-07-25",
      "written_by": "independent",
      "quote": "When Shreya confirmed her mother was on BP meds, ChatGPT asked about a specific ingredient."
    },
    {
      "kind": "news report",
      "citation": "Tech Desk / The Financial Express (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. financialexpress.com, Life / Technology.",
      "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
      "url": "https://www.financialexpress.com/life/technology-chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mother-s-mysterious-illness-after-1-5-year-struggle-3926225",
      "date": "2025-07-25",
      "written_by": "independent",
      "quote": "After discussing it with a physician and switching the prescribed medication, her mother's condition started to improve noticeably."
    },
    {
      "kind": "news report",
      "citation": "FPJ Web Desk / The Free Press Journal (2025). 'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'. freepressjournal.in, Tech.",
      "title": "'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'",
      "url": "https://www.freepressjournal.in/tech/chatgpt-saved-my-mom-woman-says-ai-uncovered-correct-cause-of-year-long-cough-doctors-had-deemed-it-fatal",
      "date": "2025-07-28",
      "written_by": "independent",
      "quote": "Many praised the responsible follow-up with a medical professional, while others noted the growing usefulness of AI as a supplemental tool in health research."
    },
    {
      "kind": "other",
      "citation": "X Corp. (2026). Syndication tweet-result for post 1947996833214877981, retrieved 20 October 2026: deletion tombstone.",
      "title": "X syndication response for post 1947996833214877981 (deletion tombstone)",
      "url": "https://cdn.syndication.twimg.com/tweet-result?id=1947996833214877981&token=4pzt91vxhvkzilx",
      "date": "2026-10-20",
      "written_by": "independent",
      "quote": "This Post was deleted by the Post author. Learn more"
    }
  ],
  "replication": {
    "produced_by": [
      "A family member with an 18-month symptom history (nonstop cough, then internal bleeding). She described it to ChatGPT after top doctors, big hospitals, homeopathy, ayurveda and allopathy had not helped",
      "ChatGPT listed several possible causes, including blood pressure medication. Told the mother was on BP medication, it asked whether it contained a specific ingredient, which it did",
      "A doctor who, told of the suggestion, confirmed it at once and changed the prescription"
    ],
    "must_hold": [
      "The chatbot's suggestion is taken to a prescribing doctor who confirms it before any medication is changed. The post credits the doctor with both the confirmation and the change",
      "The cough must actually be the drug's side effect. The post names neither the drug nor the “ingredient”, so the mechanism cannot be checked against the drug's label",
      "The account rests on one since-deleted post by the patient's daughter, relayed by independent outlets. No clinician, hospital or record corroborates it"
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "ChatGPT traces an 18-month cough to a BP drug; doctor confirms",
  "metric": null,
  "comparator": {
    "against": "a year and a half of top doctors, big hospitals and homeopathic, ayurvedic and allopathic treatment",
    "before": "My mom had a nonstop cough for 1.5 years. We saw top doctors, visited big hospitals in & out of the city, tried homeopathy, ayurveda, allopathy nothing helped. It got worse: internal bleeding started.",
    "after": "We told a doctor. He confirmed it instantly and changed the meds. Now she’s finally healing.",
    "basis": "assumed",
    "quote": "My mom had a nonstop cough for 1.5 years. We saw top doctors, visited big hospitals in & out of the city, tried homeopathy, ayurveda, allopathy nothing helped. It got worse: internal bleeding started.",
    "url": "https://in.mashable.com/tech/97585/woman-claims-chatgpt-diagnosed-moms-illness-after-doctors-failed-for-over-a-year"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "No follow-up on the mother was found; the only later fact is that the author deleted the post at an unknown date.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": null,
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the OECD Monitor entry and the cited sources.",
      "source": "https://oecd.ai/en/incidents/2025-07-24-aae1",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Title reworded to state the event without naming who claims it.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
      "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Country of the developer added from the organization's own site or a registry.",
      "source": "https://en.wikipedia.org/wiki/OpenAI",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "reported",
  "shade": "medium",
  "claim_status": "Independently reported",
  "claim_basis": "Sources: seven independent news reports, one other independent source and the beneficiary's other. The cited evidence includes no independent study or report and no finding by a regulator or court.",
  "profile": {
    "case_id": "AIBD-0142",
    "catalog_version": "1.0.0",
    "source_fingerprint": "e03125d0dfff90077fdbd0905594511b35425aface2b15d728a357d042084153",
    "collection_refs": [
      {
        "collection_id": "aibd",
        "version": "snapshot-8bf7cfec9cb185aa"
      },
      {
        "collection_id": "aibd",
        "version": "2026-10-25"
      }
    ],
    "source_ids": [
      "AIBD-0142-source-0001",
      "AIBD-0142-source-0002",
      "AIBD-0142-source-0003",
      "AIBD-0142-source-0004",
      "AIBD-0142-source-0005",
      "AIBD-0142-source-0006",
      "AIBD-0142-source-0007",
      "AIBD-0142-source-0008",
      "AIBD-0142-source-0009"
    ],
    "families": {
      "strategic assessments": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "record_ids": []
      },
      "evaluations": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "record_ids": []
      },
      "monetary observations": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "record_ids": []
      },
      "institutional decisions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "record_ids": []
      }
    },
    "fields": {
      "actors[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "developer": "OpenAI"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "developer"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "actors[].ownership_control": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "ai_contribution": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ai_role": {
              "status": "assessed",
              "statement": "ChatGPT generated the hypothesis. Among several possible causes it listed blood pressure medication. When told the mother was on such medication, it asked whether the prescription contained a specific ingredient, which it did. The confirmation and the prescription change were made by a doctor (“He confirmed it instantly and changed the meds”). NDTV, Mint, Mashable India and the Financial Express quote a commenter. They say cough is a known side effect of BP medicine that doctors “should've checked”. That frames the contribution as surfacing a documented side effect rather than a novel diagnosis. No clinician comments on the chatbot's role. The whole sequence rests on the daughter's account."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ai_role"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial",
        "display": {
          "answer": "ChatGPT suggested that a blood-pressure medication might explain a persistent cough. The daughter reported that a doctor confirmed the explanation and changed the prescription.",
          "editor_note": ""
        }
      },
      "ai_relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "category": "benefit created",
            "ai_role": {
              "status": "assessed",
              "statement": "ChatGPT generated the hypothesis. Among several possible causes it listed blood pressure medication. When told the mother was on such medication, it asked whether the prescription contained a specific ingredient, which it did. The confirmation and the prescription change were made by a doctor (“He confirmed it instantly and changed the meds”). NDTV, Mint, Mashable India and the Financial Express quote a commenter. They say cough is a known side effect of BP medicine that doctors “should've checked”. That frames the contribution as surfacing a documented side effect rather than a novel diagnosis. No clinician comments on the chatbot's role. The whole sequence rests on the daughter's account."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ai_role",
            "category"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "assessments[].alternatives": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "assessments[].assessor_date": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "assessments[].depth": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "One identifiable patient, the poster's mother, had an 18-month cough with internal bleeding that doctors had warned could become fatal. After the medication change her daughter reported her “finally healing”. Material for one person. It rates below life-changing because the recovery was in progress. Nothing beyond the daughter's post documents the diagnosis or the outcome."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "assessments[].display_confidence": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "confidence": "medium",
            "evidence_word": "reported",
            "claim_status": "Independently reported",
            "basis": "Sources: seven independent news reports, one other independent source and the beneficiary's other. The cited evidence includes no independent study or report and no finding by a regulator or court.",
            "interpretation": "Existing display rule preserved; the richer outcome-specific confidence question still needs review."
          }
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Derived from the existing case display properties; not a new evidentiary judgment.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "assessments[].rationale": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "One identifiable patient, the poster's mother, had an 18-month cough with internal bleeding that doctors had warned could become fatal. After the medication change her daughter reported her “finally healing”. Material for one person. It rates below life-changing because the recovery was in progress. Nothing beyond the daughter's post documents the diagnosis or the outcome."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "assessments[].rubric_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "assessments[].status_basis": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "assessments[].target": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "One identifiable patient, the poster's mother, had an 18-month cough with internal bleeding that doctors had warned could become fatal. After the medication change her daughter reported her “finally healing”. Material for one person. It rates below life-changing because the recovery was in progress. Nothing beyond the daughter's post documents the diagnosis or the outcome."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "availability": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "brief": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "case_kind": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "case_links[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].evidence_links": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].evidence_strength": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].missingness": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "claims[].proposition": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "cross_border_flows[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "decisions[].action_outcome": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].grounds": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].institution_task": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "decisions[].success_criterion": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "institutional decisions"
      },
      "deployment_stage": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "economics[].amount": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].costs[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].counterfactual": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].currency_price_basis": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].gross_net": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].measure_type": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].period_unit": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].realization": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].recipient_payer": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].return_payback": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "economics[].valuation_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "monetary observations"
      },
      "evaluations[].ai_uplift": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].comparator": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].design": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].effect": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].exposure": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].measurement_method": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].metric": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].reproduction_materials": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].setting_sample": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "evaluations[].uncertainty_limitations": {
        "state": "not_assessed",
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "ai_role",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations",
        "display": {
          "answer": "The sequence rests on the daughter’s account. The cited coverage quotes commenters about the known side effect but contains no clinician’s assessment of ChatGPT’s contribution.",
          "editor_note": ""
        }
      },
      "external_references[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "registry_ids": {
              "oecd_aim": "2025-07-24-aae1"
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "registry_ids"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "unknown",
              "note": "No follow-up on the mother was found; the only later fact is that the author deleted the post at an unknown date."
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "later"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "human_oversight": {
        "state": "value_present",
        "value": {
          "kind": "text",
          "text": "A doctor confirmed the suspected side effect and changed the medication."
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "ai_role",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0142"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "id"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "infrastructure_dependencies[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiaries": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].beneficiary_count": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].benefit_type": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "benefit_type": "Improved Physical Health"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].claim": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "On 23 July 2025 an X user posting as Shreya.tsx (@Life_of_coder, profile location “india”) wrote about her mother. Her mother had had a nonstop cough for 1.5 years. That was despite top doctors, big hospitals in and outside their city, homeopathy, ayurveda and allopathy. Internal bleeding had begun. Doctors had warned the condition could be fatal within six months. She described everything to OpenAI's ChatGPT, which listed possible causes including blood pressure medication. It asked whether the prescription contained a specific ingredient. It did. A doctor, told of this, confirmed it at once and changed the medication. Her mother was “finally healing”. Four Indian outlets reported the post on 24 July 2025. It has since been deleted.",
            "benefit_type": "Improved Physical Health"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "benefit_type"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].distribution": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].duration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].id": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].stakeholder_group": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "ratings": [
              {
                "group": "personal",
                "depth": 2,
                "reason": "One identifiable patient, the poster's mother, had an 18-month cough with internal bleeding that doctors had warned could become fatal. After the medication change her daughter reported her “finally healing”. Material for one person. It rates below life-changing because the recovery was in progress. Nothing beyond the daughter's post documents the diagnosis or the outcome."
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "ratings"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "outcomes[].status": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].tradeoffs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "outcomes[].unexpected": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "unexpected": true,
            "purpose": "ChatGPT is OpenAI's general-purpose conversational assistant, not a diagnostic or drug-safety tool. Surfacing a medication side effect as the likely cause of a chronic cough was outside what it was built for. So the benefit is marked unexpected."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "unexpected",
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "places[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "developer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "developer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "ChatGPT is OpenAI's general-purpose conversational assistant, not a diagnostic or drug-safety tool. Surfacing a medication side effect as the likely cause of a chronic cough was outside what it was built for. So the benefit is marked unexpected."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "purpose"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "record_dates": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "date_observed": "2025-07-23",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the OECD Monitor entry and the cited sources.",
                "source": "https://oecd.ai/en/incidents/2025-07-24-aae1",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Title reworded to state the event without naming who claims it.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "date_observed",
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "replication.attempts[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "replication.conditions": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "replication": {
              "produced_by": [
                "A family member with an 18-month symptom history (nonstop cough, then internal bleeding). She described it to ChatGPT after top doctors, big hospitals, homeopathy, ayurveda and allopathy had not helped",
                "ChatGPT listed several possible causes, including blood pressure medication. Told the mother was on BP medication, it asked whether it contained a specific ingredient, which it did",
                "A doctor who, told of the suggestion, confirmed it at once and changed the prescription"
              ],
              "must_hold": [
                "The chatbot's suggestion is taken to a prescribing doctor who confirms it before any medication is changed. The post credits the doctor with both the confirmation and the change",
                "The cough must actually be the drug's side effect. The post names neither the drug nor the “ingredient”, so the mechanism cannot be checked against the drug's label",
                "The account rests on one since-deleted post by the patient's daughter, relayed by independent outlets. No clinician, hospital or record corroborates it"
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "revision_history[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the OECD Monitor entry and the cited sources.",
                "source": "https://oecd.ai/en/incidents/2025-07-24-aae1",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Title reworded to state the event without naming who claims it.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Knowledge Discovery among the six first used.",
                "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Country of the developer added from the organization's own site or a registry.",
                "source": "https://en.wikipedia.org/wiki/OpenAI",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
                "editor": "AIBD"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "revisions"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sector": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "domain": "Healthcare (diagnosis; medication side effect)",
            "segment": "Consumer use by a patient's adult daughter"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "domain",
            "segment"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].access_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].citation_locator": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "other",
                "citation": "Shreya.tsx [@Life_of_coder] (2025). ChatGPT saved my mom. Post on X, 23 July 2025, 12:26 UTC, since deleted; X API v2 response captured by the Internet Archive at 2025-07-23 12:26:51 UTC.",
                "title": "ChatGPT saved my mom (post on X by @Life_of_coder; archived API capture with full text and author profile)",
                "url": "http://web.archive.org/web/20250723122651/https://twitter.com/Life_of_coder/status/1947996833214877981",
                "date": "2025-07-23",
                "written_by": "beneficiary",
                "quote": "We told a doctor. He confirmed it instantly and changed the meds. Now she’s finally healing."
              },
              {
                "kind": "news report",
                "citation": "Singh R. / NDTV (2025). \"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed. NDTV Offbeat, 24 July 2025.",
                "title": "\"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed",
                "url": "https://www.ndtv.com/offbeat/chatgpt-saved-my-mom-woman-claims-ai-diagnosed-her-mothers-illness-after-doctors-failed-8940203",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "The chatbot provided a list of potential causes, including one that surprised her -- a possible side effect of her mother's blood pressure medication."
              },
              {
                "kind": "news report",
                "citation": "Thakur A. / Mint (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. Livemint, Trends.",
                "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
                "url": "https://www.livemint.com/news/trends/chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mothers-mysterious-illness-after-1-5-year-struggle-11753346497477.html",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "Armed with this new insight, Shreya consulted their doctor, who immediately confirmed the link and changed the medication."
              },
              {
                "kind": "news report",
                "citation": "ET Online / The Economic Times (2025). Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom. ET Panache.",
                "title": "Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom",
                "url": "https://m.economictimes.com/magazines/panache/top-doctors-failed-for-18-months-then-ai-diagnosed-mystery-illness-woman-shares-how-chatgpt-healed-her-mom/articleshow/122885926.cms",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "This time, the doctor agreed with the AI’s suggestion and immediately changed her mother’s prescription."
              },
              {
                "kind": "news report",
                "citation": "TOI Trending Desk / The Times of India (2025). 'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed. ETimes Trending.",
                "title": "'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed",
                "url": "https://timesofindia.indiatimes.com/etimes/trending/chatgpt-saved-my-mom-woman-shares-how-ai-solved-18-month-medical-mystery-that-doctors-missed/articleshow/122881542.cms",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "To validate the suspicion, ChatGPT asked a specific question: “Is she on BP medication with this ingredient?”"
              },
              {
                "kind": "news report",
                "citation": "Singh P. / Mashable India (2025). Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year. in.mashable.com, Tech.",
                "title": "Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year",
                "url": "https://in.mashable.com/tech/97585/woman-claims-chatgpt-diagnosed-moms-illness-after-doctors-failed-for-over-a-year",
                "date": "2025-07-25",
                "written_by": "independent",
                "quote": "When Shreya confirmed her mother was on BP meds, ChatGPT asked about a specific ingredient."
              },
              {
                "kind": "news report",
                "citation": "Tech Desk / The Financial Express (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. financialexpress.com, Life / Technology.",
                "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
                "url": "https://www.financialexpress.com/life/technology-chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mother-s-mysterious-illness-after-1-5-year-struggle-3926225",
                "date": "2025-07-25",
                "written_by": "independent",
                "quote": "After discussing it with a physician and switching the prescribed medication, her mother's condition started to improve noticeably."
              },
              {
                "kind": "news report",
                "citation": "FPJ Web Desk / The Free Press Journal (2025). 'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'. freepressjournal.in, Tech.",
                "title": "'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'",
                "url": "https://www.freepressjournal.in/tech/chatgpt-saved-my-mom-woman-says-ai-uncovered-correct-cause-of-year-long-cough-doctors-had-deemed-it-fatal",
                "date": "2025-07-28",
                "written_by": "independent",
                "quote": "Many praised the responsible follow-up with a medical professional, while others noted the growing usefulness of AI as a supplemental tool in health research."
              },
              {
                "kind": "other",
                "citation": "X Corp. (2026). Syndication tweet-result for post 1947996833214877981, retrieved 20 October 2026: deletion tombstone.",
                "title": "X syndication response for post 1947996833214877981 (deletion tombstone)",
                "url": "https://cdn.syndication.twimg.com/tweet-result?id=1947996833214877981&token=4pzt91vxhvkzilx",
                "date": "2026-10-20",
                "written_by": "independent",
                "quote": "This Post was deleted by the Post author. Learn more"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].id": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "AIBD-0142-source-0001",
            "AIBD-0142-source-0002",
            "AIBD-0142-source-0003",
            "AIBD-0142-source-0004",
            "AIBD-0142-source-0005",
            "AIBD-0142-source-0006",
            "AIBD-0142-source-0007",
            "AIBD-0142-source-0008",
            "AIBD-0142-source-0009"
          ],
          "role": "Existing evidence items, in their original order"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Stable within the fingerprinted record version; no source content or source review has been added.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "sources[].language": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "sources[].relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "evidence": [
              {
                "kind": "other",
                "citation": "Shreya.tsx [@Life_of_coder] (2025). ChatGPT saved my mom. Post on X, 23 July 2025, 12:26 UTC, since deleted; X API v2 response captured by the Internet Archive at 2025-07-23 12:26:51 UTC.",
                "title": "ChatGPT saved my mom (post on X by @Life_of_coder; archived API capture with full text and author profile)",
                "url": "http://web.archive.org/web/20250723122651/https://twitter.com/Life_of_coder/status/1947996833214877981",
                "date": "2025-07-23",
                "written_by": "beneficiary",
                "quote": "We told a doctor. He confirmed it instantly and changed the meds. Now she’s finally healing."
              },
              {
                "kind": "news report",
                "citation": "Singh R. / NDTV (2025). \"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed. NDTV Offbeat, 24 July 2025.",
                "title": "\"ChatGPT Saved My Mom\": Woman Claims AI Diagnosed Her Mother's Illness After Doctors Failed",
                "url": "https://www.ndtv.com/offbeat/chatgpt-saved-my-mom-woman-claims-ai-diagnosed-her-mothers-illness-after-doctors-failed-8940203",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "The chatbot provided a list of potential causes, including one that surprised her -- a possible side effect of her mother's blood pressure medication."
              },
              {
                "kind": "news report",
                "citation": "Thakur A. / Mint (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. Livemint, Trends.",
                "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
                "url": "https://www.livemint.com/news/trends/chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mothers-mysterious-illness-after-1-5-year-struggle-11753346497477.html",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "Armed with this new insight, Shreya consulted their doctor, who immediately confirmed the link and changed the medication."
              },
              {
                "kind": "news report",
                "citation": "ET Online / The Economic Times (2025). Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom. ET Panache.",
                "title": "Top doctors failed for 18 months, then AI diagnosed mystery illness: Woman shares how ChatGPT 'healed' her mom",
                "url": "https://m.economictimes.com/magazines/panache/top-doctors-failed-for-18-months-then-ai-diagnosed-mystery-illness-woman-shares-how-chatgpt-healed-her-mom/articleshow/122885926.cms",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "This time, the doctor agreed with the AI’s suggestion and immediately changed her mother’s prescription."
              },
              {
                "kind": "news report",
                "citation": "TOI Trending Desk / The Times of India (2025). 'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed. ETimes Trending.",
                "title": "'ChatGPT saved my mom': Woman shares how AI solved 18-month medical mystery that doctors missed",
                "url": "https://timesofindia.indiatimes.com/etimes/trending/chatgpt-saved-my-mom-woman-shares-how-ai-solved-18-month-medical-mystery-that-doctors-missed/articleshow/122881542.cms",
                "date": "2025-07-24",
                "written_by": "independent",
                "quote": "To validate the suspicion, ChatGPT asked a specific question: “Is she on BP medication with this ingredient?”"
              },
              {
                "kind": "news report",
                "citation": "Singh P. / Mashable India (2025). Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year. in.mashable.com, Tech.",
                "title": "Woman Claims ChatGPT Diagnosed Mom's Illness After Doctors Failed for Over a Year",
                "url": "https://in.mashable.com/tech/97585/woman-claims-chatgpt-diagnosed-moms-illness-after-doctors-failed-for-over-a-year",
                "date": "2025-07-25",
                "written_by": "independent",
                "quote": "When Shreya confirmed her mother was on BP meds, ChatGPT asked about a specific ingredient."
              },
              {
                "kind": "news report",
                "citation": "Tech Desk / The Financial Express (2025). 'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle. financialexpress.com, Life / Technology.",
                "title": "'ChatGPT saved my mom': Woman reveals how AI diagnosed her mother's mysterious illness after 1.5 year struggle",
                "url": "https://www.financialexpress.com/life/technology-chatgpt-saved-my-mom-woman-reveals-how-ai-diagnosed-her-mother-s-mysterious-illness-after-1-5-year-struggle-3926225",
                "date": "2025-07-25",
                "written_by": "independent",
                "quote": "After discussing it with a physician and switching the prescribed medication, her mother's condition started to improve noticeably."
              },
              {
                "kind": "news report",
                "citation": "FPJ Web Desk / The Free Press Journal (2025). 'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'. freepressjournal.in, Tech.",
                "title": "'ChatGPT Saved My Mom': Woman Says AI Uncovered Correct Cause Of Year-Long Cough, Doctors Had Deemed It 'Fatal'",
                "url": "https://www.freepressjournal.in/tech/chatgpt-saved-my-mom-woman-says-ai-uncovered-correct-cause-of-year-long-cough-doctors-had-deemed-it-fatal",
                "date": "2025-07-28",
                "written_by": "independent",
                "quote": "Many praised the responsible follow-up with a medical professional, while others noted the growing usefulness of AI as a supplemental tool in health research."
              },
              {
                "kind": "other",
                "citation": "X Corp. (2026). Syndication tweet-result for post 1947996833214877981, retrieved 20 October 2026: deletion tombstone.",
                "title": "X syndication response for post 1947996833214877981 (deletion tombstone)",
                "url": "https://cdn.syndication.twimg.com/tweet-result?id=1947996833214877981&token=4pzt91vxhvkzilx",
                "date": "2026-10-20",
                "written_by": "independent",
                "quote": "This Post was deleted by the Post author. Learn more"
              }
            ]
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "evidence"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "sources[].upstream_sources": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "strategic_assessments[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "strategic assessments"
      },
      "summary": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "summary": "ChatGPT flagged a BP drug side effect behind an 18-month cough; a doctor confirmed it and changed the drug; daughter reports mother healing.",
            "account": "On 23 July 2025 an X user posting as Shreya.tsx (@Life_of_coder, profile location “india”) wrote about her mother. Her mother had had a nonstop cough for 1.5 years. That was despite top doctors, big hospitals in and outside their city, homeopathy, ayurveda and allopathy. Internal bleeding had begun. Doctors had warned the condition could be fatal within six months. She described everything to OpenAI's ChatGPT, which listed possible causes including blood pressure medication. It asked whether the prescription contained a specific ingredient. It did. A doctor, told of this, confirmed it at once and changed the medication. Her mother was “finally healing”. Four Indian outlets reported the post on 24 July 2025. It has since been deleted."
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "summary",
            "account"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].autonomy_permissions": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].component_role": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].deployment_configuration": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].inputs_outputs": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_name": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].model_version": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "systems[].product_name": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "system": "ChatGPT"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "system"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "systems[].provider": {
        "state": "value_present",
        "value": {
          "kind": "structured",
          "data": {
            "application_developer": "OpenAI"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "developer"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "taxonomy_crosswalks[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "title": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "title": "ChatGPT points to a blood pressure medication behind an 18-month cough that doctors had not explained; a doctor confirms it and changes the prescription, and X user Shreya's mother may be healing",
            "headline": "ChatGPT traces an 18-month cough to a BP drug; doctor confirms"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "title",
            "headline"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "version": {
        "state": "value_present",
        "value": {
          "kind": "identifiers",
          "identifiers": [
            "e03125d0dfff90077fdbd0905594511b35425aface2b15d728a357d042084153"
          ],
          "role": "SHA-256 of normalized original case data"
        },
        "provenance": {
          "kind": "curatorial",
          "basis": "Deterministic content version assigned by the local migration.",
          "record_fields": [],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "complete"
      },
      "workflow": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "On 23 July 2025 an X user posting as Shreya.tsx (@Life_of_coder, profile location “india”) wrote about her mother. Her mother had had a nonstop cough for 1.5 years. That was despite top doctors, big hospitals in and outside their city, homeopathy, ayurveda and allopathy. Internal bleeding had begun. Doctors had warned the condition could be fatal within six months. She described everything to OpenAI's ChatGPT, which listed possible causes including blood pressure medication. It asked whether the prescription contained a specific ingredient. It did. A doctor, told of this, confirmed it at once and changed the medication. Her mother was “finally healing”. Four Indian outlets reported the post on 24 July 2025. It has since been deleted.",
            "replication": {
              "produced_by": [
                "A family member with an 18-month symptom history (nonstop cough, then internal bleeding). She described it to ChatGPT after top doctors, big hospitals, homeopathy, ayurveda and allopathy had not helped",
                "ChatGPT listed several possible causes, including blood pressure medication. Told the mother was on BP medication, it asked whether it contained a specific ingredient, which it did",
                "A doctor who, told of the suggestion, confirmed it at once and changed the prescription"
              ],
              "must_hold": [
                "The chatbot's suggestion is taken to a prescribing doctor who confirms it before any medication is changed. The post credits the doctor with both the confirmation and the change",
                "The cough must actually be the drug's side effect. The post names neither the drug nor the “ingredient”, so the mechanism cannot be checked against the drug's label",
                "The account rests on one since-deleted post by the patient's daughter, relayed by independent outlets. No clinician, hospital or record corroborates it"
              ],
              "echoes": []
            }
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "account",
            "replication"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      }
    },
    "summary": {
      "total": 91,
      "addressed": 91,
      "known": 30,
      "reviewed": 0,
      "record_mapped": 30,
      "not_assessed": 61,
      "complete": false,
      "by_state": {
        "value_present": 30,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 61,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}
