{
  "id": "AIBD-0065",
  "title": "Viz HCM AI-ECG algorithm flags hypertrophic cardiomyopathy in a symptomatic 61-year-old; obstructive HCM confirmed and treated with mavacamten at Cleveland Clinic",
  "summary": "AI-ECG (Viz HCM) scored >0.95 for HCM in a symptomatic 61-year-old; echo confirmed obstructive HCM; mavacamten cut gradients and symptoms.",
  "date_observed": "2025-02-26",
  "date_basis": "unassessed",
  "date_precision": "unassessed",
  "benefit_status": null,
  "source_collection": null,
  "source_entry": null,
  "account": "A 61-year-old man, unaware of any cardiomyopathy, had lightheadedness, dizziness, fatigue and functional limitation on moderate exertion. He had a baseline electrocardiogram (ECG) at an executive physical at Cleveland Clinic, Cleveland, Ohio (no date given). Under an organization-wide initiative it was uploaded to a cloud platform running the Viz HCM convolutional neural network. The algorithm gave a probability above 0.95 for hypertrophic cardiomyopathy and he was referred to the Hypertrophic Cardiomyopathy Center. Echocardiography showed 2 cm basal septal hypertrophy, systolic anterior motion and a post-exercise outflow gradient of 72 mm Hg. After shared decision-making he started mavacamten 5 mg daily. By week 8 the resting gradient was 9 mm Hg, with less dizziness and dyspnea and no hospitalizations.",
  "category": "benefit created",
  "unexpected": false,
  "purpose": "Viz HCM is a cloud-based AI-ECG algorithm built to flag probable hypertrophic cardiomyopathy from 12-lead ECGs. This diagnosis is its intended function.",
  "system": "Viz HCM",
  "model_version": null,
  "developer": "Viz.ai",
  "deployer": "Cleveland Clinic",
  "location": "Cleveland, United States",
  "domain": "Healthcare - cardiology",
  "segment": "AI-ECG screening in a health system",
  "benefit_type": "Improved Physical Health",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "personal",
      "depth": 3,
      "reason": "An undiagnosed obstructive cardiomyopathy causing dizziness and exertional limitation was identified and treated with a disease-specific drug. Gradient reduction and symptom improvement at 8 weeks are documented. Long-term benefit is not yet shown."
    }
  ],
  "ai_role": {
    "status": "assessed",
    "statement": "The AI-ECG probability (>0.95) was the trigger for referral and echocardiography in a patient not previously suspected of HCM. Imaging confirmed the diagnosis and clinicians chose the treatment. Disclosed relationships: Dr Desai is a consultant for and has research agreements with Viz-ai (among other companies). Mrs Rutkowski is a consultant for Viz-ai. Mrs Ospina has none. All three authors are listed under the Cleveland Clinic Hypertrophic Cardiomyopathy Center, with no Viz.ai affiliation."
  },
  "evidence": [
    {
      "kind": "case report",
      "citation": "Desai MY, Rutkowski K, Ospina S (2025). Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten. JACC: Case Reports 30(8):103228.",
      "title": "Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten",
      "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
      "date": "2025-02-26",
      "written_by": "deployer",
      "quote": "The AI-analyzed ECG (Figure 1B) subsequently received a high probability score (>0.95) for HCM."
    }
  ],
  "replication": {
    "produced_by": [
      "Uploading routine 12-lead ECGs to the Viz HCM cloud platform as an institutional initiative",
      "A referral pathway from AI flag to a specialist HCM center"
    ],
    "must_hold": [
      "Echocardiographic confirmation before treatment",
      "Access to mavacamten with REMS monitoring"
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "Viz HCM flags hypertrophic cardiomyopathy in a 61-year-old",
  "metric": "by week 8 the resting gradient was 9 mm Hg",
  "comparator": {
    "against": "the clinical reading of the same baseline ECG",
    "before": "interpreted clinically as normal sinus rhythm with first-degree atrioventricular block",
    "after": "a high probability score (>0.95) for HCM",
    "basis": "measured",
    "quote": "His baseline ECG was interpreted clinically as normal sinus rhythm with first-degree atrioventricular block; CAC score was 235 (79th percentile for age, gender, and ethnicity), and he achieved 9 metabolic equivalents (METs) on exercise stress test without significant abnormalities.",
    "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/"
  },
  "later": {
    "status": "unknown",
    "date": null,
    "note": "The case report ends at week 8 of mavacamten; no later development appears in the cited source.",
    "quote": null,
    "url": null
  },
  "value": null,
  "developer_country": "United States",
  "deployer_country": "United States",
  "unrated_because": null,
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-20",
      "change": "Record drafted from the cited sources.",
      "source": null,
      "editor": "AIBD"
    },
    {
      "date": "2026-10-20",
      "change": "Removed the unsupported October 2024 ECG date (the paper gives none) and set the date observed to the 26 February 2025 publication date with the manuscript dates noted, restored “(Figure 1B)” to the quotation, completed the Viz-ai disclosures (Dr Desai is also a consultant) and noted that the paper names the algorithm VIZ-HCM but never states its developer.",
      "source": "Desai MY, Rutkowski K, Ospina S (2025). JACC: Case Reports 30(8):103228, https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Added what the benefit is measured against from the cited sources.",
      "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
      "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 and the deployer added from the organization's own site or a registry.",
      "source": "https://www.viz.ai/privacy-policy; https://my.clevelandclinic.org/about",
      "editor": "AIBD"
    },
    {
      "date": "2026-10-21",
      "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.",
      "source": null,
      "editor": "AIBD"
    }
  ],
  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The deployer's account",
  "claim_basis": "Sources: the deployer's case report. The cited evidence includes no independent source and no finding by a regulator or court.",
  "profile": {
    "case_id": "AIBD-0065",
    "catalog_version": "1.0.0",
    "source_fingerprint": "d83b61a0b89d6cffae4f3886eb3324d00a01cf933feeddcdc72f4b4866c9a29c",
    "collection_refs": [
      {
        "collection_id": "aibd",
        "version": "snapshot-8bf7cfec9cb185aa"
      },
      {
        "collection_id": "aibd",
        "version": "2026-10-25"
      }
    ],
    "source_ids": [
      "AIBD-0065-source-0001"
    ],
    "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": "Viz.ai",
            "deployer": "Cleveland Clinic"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "developer",
            "deployer"
          ],
          "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": "The AI-ECG probability (>0.95) was the trigger for referral and echocardiography in a patient not previously suspected of HCM. Imaging confirmed the diagnosis and clinicians chose the treatment. Disclosed relationships: Dr Desai is a consultant for and has research agreements with Viz-ai (among other companies). Mrs Rutkowski is a consultant for Viz-ai. Mrs Ospina has none. All three authors are listed under the Cleveland Clinic Hypertrophic Cardiomyopathy Center, with no Viz.ai affiliation."
            }
          }
        },
        "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"
      },
      "ai_relationship": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "category": "benefit created",
            "ai_role": {
              "status": "assessed",
              "statement": "The AI-ECG probability (>0.95) was the trigger for referral and echocardiography in a patient not previously suspected of HCM. Imaging confirmed the diagnosis and clinicians chose the treatment. Disclosed relationships: Dr Desai is a consultant for and has research agreements with Viz-ai (among other companies). Mrs Rutkowski is a consultant for Viz-ai. Mrs Ospina has none. All three authors are listed under the Cleveland Clinic Hypertrophic Cardiomyopathy Center, with no Viz.ai affiliation."
            }
          }
        },
        "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": 3,
                "reason": "An undiagnosed obstructive cardiomyopathy causing dizziness and exertional limitation was identified and treated with a disease-specific drug. Gradient reduction and symptom improvement at 8 weeks are documented. Long-term benefit is not yet shown."
              }
            ]
          }
        },
        "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": "low",
            "evidence_word": "claimed",
            "claim_status": "The deployer's account",
            "basis": "Sources: the deployer's case report. The cited evidence includes no independent source 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": 3,
                "reason": "An undiagnosed obstructive cardiomyopathy causing dizziness and exertional limitation was identified and treated with a disease-specific drug. Gradient reduction and symptom improvement at 8 weeks are documented. Long-term benefit is not yet shown."
              }
            ]
          }
        },
        "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": 3,
                "reason": "An undiagnosed obstructive cardiomyopathy causing dizziness and exertional limitation was identified and treated with a disease-specific drug. Gradient reduction and symptom improvement at 8 weeks are documented. Long-term benefit is not yet shown."
              }
            ]
          }
        },
        "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",
        "provenance": {
          "kind": "legacy_record",
          "basis": "Mapped from the existing case description without a new external source review.",
          "record_fields": [
            "metric"
          ],
          "source_refs": []
        },
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations",
        "display": {
          "answer": "by week 8 the resting gradient was 9 mm Hg",
          "editor_note": ""
        }
      },
      "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",
        "review_state": "not_assessed",
        "coverage": "partial",
        "family": "evaluations"
      },
      "external_references[]": {
        "state": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "follow_up[]": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "later": {
              "status": "unknown",
              "note": "The case report ends at week 8 of mavacamten; no later development appears in the cited source."
            }
          }
        },
        "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": "not_assessed",
        "review_state": "not_assessed",
        "coverage": "partial"
      },
      "id": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "id": "AIBD-0065"
          }
        },
        "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": "A 61-year-old man, unaware of any cardiomyopathy, had lightheadedness, dizziness, fatigue and functional limitation on moderate exertion. He had a baseline electrocardiogram (ECG) at an executive physical at Cleveland Clinic, Cleveland, Ohio (no date given). Under an organization-wide initiative it was uploaded to a cloud platform running the Viz HCM convolutional neural network. The algorithm gave a probability above 0.95 for hypertrophic cardiomyopathy and he was referred to the Hypertrophic Cardiomyopathy Center. Echocardiography showed 2 cm basal septal hypertrophy, systolic anterior motion and a post-exercise outflow gradient of 72 mm Hg. After shared decision-making he started mavacamten 5 mg daily. By week 8 the resting gradient was 9 mm Hg, with less dizziness and dyspnea and no hospitalizations.",
            "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": 3,
                "reason": "An undiagnosed obstructive cardiomyopathy causing dizziness and exertional limitation was identified and treated with a disease-specific drug. Gradient reduction and symptom improvement at 8 weeks are documented. Long-term benefit is not yet shown."
              }
            ]
          }
        },
        "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": false,
            "purpose": "Viz HCM is a cloud-based AI-ECG algorithm built to flag probable hypertrophic cardiomyopathy from 12-lead ECGs. This diagnosis is its intended function."
          }
        },
        "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": {
            "location": "Cleveland, United States",
            "developer_country": "United States",
            "deployer_country": "United States"
          }
        },
        "provenance": {
          "kind": "legacy_record",
          "basis": "Preserved from the existing AIBD record; external sources were not rechecked.",
          "record_fields": [
            "location",
            "developer_country",
            "deployer_country"
          ],
          "source_refs": []
        },
        "review_state": "record_mapped",
        "coverage": "partial"
      },
      "purpose": {
        "state": "value_present",
        "value": {
          "kind": "record_fields",
          "fields": {
            "purpose": "Viz HCM is a cloud-based AI-ECG algorithm built to flag probable hypertrophic cardiomyopathy from 12-lead ECGs. This diagnosis is its intended function."
          }
        },
        "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": "2025-02-26",
            "revisions": [
              {
                "date": "2026-10-20",
                "change": "Record drafted from the cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Removed the unsupported October 2024 ECG date (the paper gives none) and set the date observed to the 26 February 2025 publication date with the manuscript dates noted, restored “(Figure 1B)” to the quotation, completed the Viz-ai disclosures (Dr Desai is also a consultant) and noted that the paper names the algorithm VIZ-HCM but never states its developer.",
                "source": "Desai MY, Rutkowski K, Ospina S (2025). JACC: Case Reports 30(8):103228, https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what the benefit is measured against from the cited sources.",
                "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "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 and the deployer added from the organization's own site or a registry.",
                "source": "https://www.viz.ai/privacy-policy; https://my.clevelandclinic.org/about",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, 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": [
                "Uploading routine 12-lead ECGs to the Viz HCM cloud platform as an institutional initiative",
                "A referral pathway from AI flag to a specialist HCM center"
              ],
              "must_hold": [
                "Echocardiographic confirmation before treatment",
                "Access to mavacamten with REMS monitoring"
              ],
              "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 cited sources.",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-20",
                "change": "Removed the unsupported October 2024 ECG date (the paper gives none) and set the date observed to the 26 February 2025 publication date with the manuscript dates noted, restored “(Figure 1B)” to the quotation, completed the Viz-ai disclosures (Dr Desai is also a consultant) and noted that the paper names the algorithm VIZ-HCM but never states its developer.",
                "source": "Desai MY, Rutkowski K, Ospina S (2025). JACC: Case Reports 30(8):103228, https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Added what the benefit is measured against from the cited sources.",
                "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "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 and the deployer added from the organization's own site or a registry.",
                "source": "https://www.viz.ai/privacy-policy; https://my.clevelandclinic.org/about",
                "editor": "AIBD"
              },
              {
                "date": "2026-10-21",
                "change": "Prose pass: a rating reason, account, purpose, 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 - cardiology",
            "segment": "AI-ECG screening in a health system"
          }
        },
        "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": "case report",
                "citation": "Desai MY, Rutkowski K, Ospina S (2025). Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten. JACC: Case Reports 30(8):103228.",
                "title": "Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "date": "2025-02-26",
                "written_by": "deployer",
                "quote": "The AI-analyzed ECG (Figure 1B) subsequently received a high probability score (>0.95) for HCM."
              }
            ]
          }
        },
        "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-0065-source-0001"
          ],
          "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": "case report",
                "citation": "Desai MY, Rutkowski K, Ospina S (2025). Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten. JACC: Case Reports 30(8):103228.",
                "title": "Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten",
                "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12046996/",
                "date": "2025-02-26",
                "written_by": "deployer",
                "quote": "The AI-analyzed ECG (Figure 1B) subsequently received a high probability score (>0.95) for HCM."
              }
            ]
          }
        },
        "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": "AI-ECG (Viz HCM) scored >0.95 for HCM in a symptomatic 61-year-old; echo confirmed obstructive HCM; mavacamten cut gradients and symptoms.",
            "account": "A 61-year-old man, unaware of any cardiomyopathy, had lightheadedness, dizziness, fatigue and functional limitation on moderate exertion. He had a baseline electrocardiogram (ECG) at an executive physical at Cleveland Clinic, Cleveland, Ohio (no date given). Under an organization-wide initiative it was uploaded to a cloud platform running the Viz HCM convolutional neural network. The algorithm gave a probability above 0.95 for hypertrophic cardiomyopathy and he was referred to the Hypertrophic Cardiomyopathy Center. Echocardiography showed 2 cm basal septal hypertrophy, systolic anterior motion and a post-exercise outflow gradient of 72 mm Hg. After shared decision-making he started mavacamten 5 mg daily. By week 8 the resting gradient was 9 mm Hg, with less dizziness and dyspnea and no hospitalizations."
          }
        },
        "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": "Viz HCM"
          }
        },
        "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": "Viz.ai"
          }
        },
        "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": "Viz HCM AI-ECG algorithm flags hypertrophic cardiomyopathy in a symptomatic 61-year-old; obstructive HCM confirmed and treated with mavacamten at Cleveland Clinic",
            "headline": "Viz HCM flags hypertrophic cardiomyopathy in a 61-year-old"
          }
        },
        "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": [
            "d83b61a0b89d6cffae4f3886eb3324d00a01cf933feeddcdc72f4b4866c9a29c"
          ],
          "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": "A 61-year-old man, unaware of any cardiomyopathy, had lightheadedness, dizziness, fatigue and functional limitation on moderate exertion. He had a baseline electrocardiogram (ECG) at an executive physical at Cleveland Clinic, Cleveland, Ohio (no date given). Under an organization-wide initiative it was uploaded to a cloud platform running the Viz HCM convolutional neural network. The algorithm gave a probability above 0.95 for hypertrophic cardiomyopathy and he was referred to the Hypertrophic Cardiomyopathy Center. Echocardiography showed 2 cm basal septal hypertrophy, systolic anterior motion and a post-exercise outflow gradient of 72 mm Hg. After shared decision-making he started mavacamten 5 mg daily. By week 8 the resting gradient was 9 mm Hg, with less dizziness and dyspnea and no hospitalizations.",
            "replication": {
              "produced_by": [
                "Uploading routine 12-lead ECGs to the Viz HCM cloud platform as an institutional initiative",
                "A referral pathway from AI flag to a specialist HCM center"
              ],
              "must_hold": [
                "Echocardiographic confirmation before treatment",
                "Access to mavacamten with REMS monitoring"
              ],
              "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": 28,
      "reviewed": 0,
      "record_mapped": 28,
      "not_assessed": 63,
      "complete": false,
      "by_state": {
        "value_present": 28,
        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 63,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}
