Realtime Diagnosis From Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation With Long Follow-Up (REGAL)

Running, not enrolling · Not applicable

Conditions studied: Atrial Fibrillation

In brief

The purpose of this research is to test whether Apple Watch, used as a long-term monitoring device, can enable early detection of atrial fibrillation.

Key facts

Study ID

NCT05923359

Run by

Mayo Clinic

People needed

2000

Starts

2024-04-10

Expected to finish

2026-09-01

Last updated by the study team

2026-01-22

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Had a 10-second 12-lead ECG done at Mayo Clinic
• Have a high AI-ECG risk score indicating a high likelihood of previously unrecognized AF
• Men with CHA2DS2-VASc2 ≥2 or women with CHA2DS2-VASc ≥ 3

You may not qualify if…

• Diagnosed atrial fibrillation
• Diagnosed dementia
• Diagnosed end-stage kidney disease
• History of intracranial bleeding
• Have an implantable cardiac monitoring device, including a pacemaker, a defibrillator, or implanted loop recorder
• Missing date of birth
• Residence outside of the U.S. or missing address information

Where it is running

• Mayo Clinic — Rochester, Minnesota, United States

Full record on ClinicalTrials.gov

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