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NCT04208971
Batch Enrollment for AI-Guided Intervention to Lower Neurologic Events in Unrecognized AF
trial testing AI-enabled ECG-based Screening Tool for AF in Atrial Fibrillation in 1,225 participants. Completed in 27 January 2022.
27 January 2022
Quick facts
| Lead sponsor | Mayo Clinic |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 1,225 |
| Start date | 2 November 2020 |
| Primary completion | 27 January 2022 |
| Estimated completion | 27 January 2022 |
| Sites | 1 location across United States |
Drugs / interventions tested
- AI-enabled ECG-based Screening Tool for AF
Conditions studied
- Atrial Fibrillation — all drugs for Atrial Fibrillation →
Sponsor
Mayo Clinic
Who can join
18 and older, any sex, with Atrial Fibrillation. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This is a prospective study to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis of unrecognized atrial fibrillation (AF) and stroke prevention.
Publications & conference data
8 peer-reviewed publications reference this trial (live from Europe PMC):
-
Application of artificial intelligence to the electrocardiogram.
Attia ZI, Harmon DM, Behr ER, Friedman PA. · · 2021 · cited 180× · PMID 34534279 · DOI 10.1093/eurheartj/ehab649 -
Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial.
Noseworthy PA, Attia ZI, Behnken EM, Giblon RE, et al · · 2022 · cited 154× · PMID 36179758 · DOI 10.1016/s0140-6736(22)01637-3 -
Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference.
Schnabel RB, Marinelli EA, Arbelo E, Boriani G, et al · · 2023 · cited 131× · PMID 35894842 · DOI 10.1093/europace/euac062 -
World Heart Federation Roadmap on Atrial Fibrillation - A 2020 Update.
Freedman B, Hindricks G, Banerjee A, Baranchuk A, et al · · 2021 · cited 62× · PMID 34211827 · DOI 10.5334/gh.1023 -
Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial.
Yao X, Attia ZI, Behnken EM, Walvatne K, et al · · 2021 · cited 24× · PMID 34033803 · DOI 10.1016/j.ahj.2021.05.006 -
Scoping review of the current landscape of AI-based applications in clinical trials.
Cascini F, Beccia F, Causio FA, Melnyk A, et al · · 2022 · cited 18× · PMID 36033816 · DOI 10.3389/fpubh.2022.949377 -
Artificial intelligence and atrial fibrillation.
Sehrawat O, Kashou AH, Noseworthy PA. · · 2022 · cited 17× · PMID 35258136 · DOI 10.1111/jce.15440 -
An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review.
Di Costanzo A, Spaccarotella CAM, Esposito G, Indolfi C. · · 2024 · cited 9× · PMID 38398346 · DOI 10.3390/jcm13041033
Verify or expand the search:
- PubMed search for NCT04208971
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04208971 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Mayo Clinic
- Last refreshed: 18 August 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04208971.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing