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NCT04208971

Batch Enrollment for AI-Guided Intervention to Lower Neurologic Events in Unrecognized AF

Completed Last updated 18 August 2022
What this trial tests

trial testing AI-enabled ECG-based Screening Tool for AF in Atrial Fibrillation in 1,225 participants. Completed in 27 January 2022.

Timeline
2 November 2020
Primary endpoint
27 January 2022
27 January 2022

Quick facts

Lead sponsorMayo Clinic
StatusCompleted
Study typeOBSERVATIONAL
Enrollment1,225
Start date2 November 2020
Primary completion27 January 2022
Estimated completion27 January 2022
Sites1 location across United States

Drugs / interventions tested

Conditions studied

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):

  1. 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
  2. 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
  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
  4. 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
  5. 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
  6. 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
  7. Artificial intelligence and atrial fibrillation.
    Sehrawat O, Kashou AH, Noseworthy PA. · · 2022 · cited 17× · PMID 35258136 · DOI 10.1111/jce.15440
  8. 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:

Other recruiting trials for Atrial Fibrillation

Currently open trials in the same condition.

Other Mayo Clinic trials

Trials by the same sponsor.

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Data sources for this page

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.

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