{ "id": "AIBD-0285", "title": "Smartwatch irregular-rhythm notifications send a 25-year-old man to the emergency department, where atrial fibrillation is confirmed and cardioverted", "summary": "A 25-year-old's smartwatch notified him several times of an irregular rhythm consistent with AF; ECG showed AF with rapid ventricular response, treated by TEE-guided cardioversion (Cureus, 2023).", "date_observed": "2023-03-09", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "Bedi, Al Masri, Al Hennawi, Qadir and Ottman are internal medicine physicians at Abington Jefferson Hospital, Abington, USA, with a co-author at Alfaisal University, Riyadh. They reported in Cureus on 9 March 2023 a 25-year-old man with anxiety and depression. The event is undated. He came to an emergency department with 24 hours of chest pressure and palpitations. His smartwatch had notified him several times of an irregular rhythm consistent with atrial fibrillation (AF). The authors link this to weekend binge drinking. He was tachycardic above 120 bpm. The electrocardiogram (ECG) showed AF with rapid ventricular response at 123 bpm. Intravenous diltiazem and oral metoprolol did not restore rhythm. Enoxaparin was started. BNP was 796 with a clear chest X-ray. He was admitted and, on the cardiologist's recommendation, underwent transesophageal-echo-guided electrical cardioversion the next day, restoring sinus rhythm. Despite a CHA2DS2-VASc score of 0 he was given apixaban for four weeks. He was advised on alcohol cessation and gradual return to exercise and scheduled for monthly cardiology follow-up. The report names neither the watch's brand nor model. It describes smartwatches generically as using photoplethysmography with deep neural network algorithms.", "category": "benefit created", "unexpected": false, "purpose": "Smartwatch irregular-rhythm notifications are built to prompt the wearer to seek medical review. This benefit was that purpose.", "system": "Smartwatch irregular-rhythm notification (brand and model not stated)", "model_version": null, "developer": "Not stated (the report does not name the device's maker)", "deployer": null, "location": "Abington, United States (authors' hospital; the report does not name the emergency department)", "domain": "Healthcare (cardiology)", "segment": "Consumer wearables", "benefit_type": "Improved Physical Health", "taxonomy_note": null, "registry_ids": {}, "ratings": [ { "group": "personal", "depth": 2, "reason": "A 25-year-old received an ECG-confirmed AF diagnosis, cardioversion to sinus rhythm and four weeks of anticoagulation. A material benefit to one person, not described as life-saving." } ], "ai_role": { "status": "assessed", "statement": "The watch's own notification, repeated several times, is what the report says prompted the visit. Clinicians confirmed AF on a 12-lead ECG and chose cardioversion. The brand is unknown, so the algorithm behind the notification cannot be identified. The authors describe smartwatch rhythm detection generically as deep-neural-network analysis of pulse waves." }, "evidence": [ { "kind": "case report", "citation": "Bedi A, Al Masri MK, Al Hennawi H, Qadir S, Ottman P (2023). The Integration of Artificial Intelligence Into Patient Care: A Case of Atrial Fibrillation Caught by a Smartwatch. Cureus 15(3):e35941. doi:10.7759/cureus.35941 (PMC10082624).", "title": "The Integration of Artificial Intelligence Into Patient Care: A Case of Atrial Fibrillation Caught by a Smartwatch", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10082624/", "date": "2023-03-09", "written_by": "independent", "quote": "The patient sought medical attention after his smartwatch notified him several times of an irregular heart rhythm consistent with atrial fibrillation (AF)" }, { "kind": "case report", "citation": "Bedi A et al. (2023), Cureus 15(3):e35941, treatment and outcome.", "title": "The Integration of Artificial Intelligence Into Patient Care: A Case of Atrial Fibrillation Caught by a Smartwatch", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10082624/", "date": "2023-03-09", "written_by": "independent", "quote": "Upon the cardiologist's recommendation, the patient underwent transesophageal echocardiography (TEE)-guided electrical cardioversion the next day, and normal sinus rhythm was successfully restored." } ], "replication": { "produced_by": [ "A wearer with symptomatic AF whose smartwatch issued repeated irregular-rhythm notifications", "The wearer acting on the notifications by attending an emergency department", "Clinicians confirming the rhythm on a 12-lead ECG and treating it" ], "must_hold": [ "The watch's notification corresponds to a true arrhythmia (the authors cite a positive predictive value of 84% for irregular-pulse notifications in the Apple Heart Study)", "The wearer treats the notification as a reason to seek care" ], "echoes": [ { "date": null, "setting": "Apple Heart Study, cited in the report's discussion: 34% of participants alerted to an irregular rhythm were later diagnosed with AF, positive predictive value 84%", "model_version": null, "outcome": "recurred", "source": "Bedi A et al. (2023), Cureus 15(3):e35941, discussion, citing Perez et al. 2019" } ] }, "paired_incident": null, "headline": "Smartwatch AF alerts in a 25-year-old lead to cardioversion", "metric": "atrial fibrillation with rapid ventricular response at 123 bpm", "comparator": null, "later": { "status": "unknown", "date": null, "note": "The report ends with monthly cardiology follow-up recommended; nothing later was found.", "quote": null, "url": null }, "value": null, "developer_country": null, "deployer_country": null, "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": "2026-10-21", "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility 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": "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": "studied", "shade": "high", "claim_status": "Independently studied", "claim_basis": "Sources: one independent case report. The cited evidence includes no finding by a regulator or court.", "profile": { "case_id": "AIBD-0285", "catalog_version": "1.0.0", "source_fingerprint": "2c98991014f1892d81ae3e4824ac9758a80cc67b0705038ed44aa222fef608fa", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0285-source-0001", "AIBD-0285-source-0002" ], "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": "Not stated (the report does not name the device's maker)" } }, "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": "The watch's own notification, repeated several times, is what the report says prompted the visit. 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They reported in Cureus on 9 March 2023 a 25-year-old man with anxiety and depression. The event is undated. He came to an emergency department with 24 hours of chest pressure and palpitations. His smartwatch had notified him several times of an irregular rhythm consistent with atrial fibrillation (AF). The authors link this to weekend binge drinking. He was tachycardic above 120 bpm. The electrocardiogram (ECG) showed AF with rapid ventricular response at 123 bpm. Intravenous diltiazem and oral metoprolol did not restore rhythm. Enoxaparin was started. BNP was 796 with a clear chest X-ray. He was admitted and, on the cardiologist's recommendation, underwent transesophageal-echo-guided electrical cardioversion the next day, restoring sinus rhythm. Despite a CHA2DS2-VASc score of 0 he was given apixaban for four weeks. He was advised on alcohol cessation and gradual return to exercise and scheduled for monthly cardiology follow-up. The report names neither the watch's brand nor model. 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It describes smartwatches generically as using photoplethysmography with deep neural network algorithms." } }, "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": "Smartwatch irregular-rhythm notification (brand and model not stated)" } }, "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": "Not stated (the report does not name the device's maker)" } }, "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": "Smartwatch irregular-rhythm notifications send a 25-year-old man to the emergency department, where atrial fibrillation is confirmed and cardioverted", "headline": "Smartwatch AF alerts in a 25-year-old lead to cardioversion" } }, "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": [ "2c98991014f1892d81ae3e4824ac9758a80cc67b0705038ed44aa222fef608fa" ], "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": "Bedi, Al Masri, Al Hennawi, Qadir and Ottman are internal medicine physicians at Abington Jefferson Hospital, Abington, USA, with a co-author at Alfaisal University, Riyadh. They reported in Cureus on 9 March 2023 a 25-year-old man with anxiety and depression. The event is undated. He came to an emergency department with 24 hours of chest pressure and palpitations. His smartwatch had notified him several times of an irregular rhythm consistent with atrial fibrillation (AF). The authors link this to weekend binge drinking. He was tachycardic above 120 bpm. The electrocardiogram (ECG) showed AF with rapid ventricular response at 123 bpm. Intravenous diltiazem and oral metoprolol did not restore rhythm. Enoxaparin was started. BNP was 796 with a clear chest X-ray. He was admitted and, on the cardiologist's recommendation, underwent transesophageal-echo-guided electrical cardioversion the next day, restoring sinus rhythm. Despite a CHA2DS2-VASc score of 0 he was given apixaban for four weeks. He was advised on alcohol cessation and gradual return to exercise and scheduled for monthly cardiology follow-up. The report names neither the watch's brand nor model. It describes smartwatches generically as using photoplethysmography with deep neural network algorithms.", "replication": { "produced_by": [ "A wearer with symptomatic AF whose smartwatch issued repeated irregular-rhythm notifications", "The wearer acting on the notifications by attending an emergency department", "Clinicians confirming the rhythm on a 12-lead ECG and treating it" ], "must_hold": [ "The watch's notification corresponds to a true arrhythmia (the authors cite a positive predictive value of 84% for irregular-pulse notifications in the Apple Heart Study)", "The wearer treats the notification as a reason to seek care" ], "echoes": [ { "setting": "Apple Heart Study, cited in the report's discussion: 34% of participants alerted to an irregular rhythm were later diagnosed with AF, positive predictive value 84%", "outcome": "recurred", "source": "Bedi A et al. 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