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.

Inclusion Criteria:

• Age ≥18 years
• Had a 10-second 12-lead ECG done at Mayo Clinic
• Men with CHA2DS2-VASc ≥2 or women with CHA2DS2-VASc ≥3

Exclusion Criteria:

• Diagnosed atrial fibrillation or atrial flutter
• Missing date of birth or sex in the electronic health record (EHR)
• A history of intracranial bleeding
• A history of end-stage kidney disease
• Have an implantable cardiac monitoring device, including a pacemaker, a defibrillator, or implanted loop recorder
• Deemed by research personnel to have limitations that would prevent them from being able to provide informed consent, use the patch, or complete interviews will not be included.

This study aims to enroll adult patients who have not been previously diagnosed with AF, are eligible for anticoagulation and have AI-predicted risks based on a normal sinus rhythm ECG.