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

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

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.

Inclusion Criteria:

• 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

Exclusion Criteria:

• 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