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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)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05923359
Enrollment
2000
Registered
2023-06-28
Start date
2024-04-10
Completion date
2026-09-01
Last updated
2026-01-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Atrial Fibrillation

Brief summary

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.

Interventions

Apple Watch

Sponsors

Mayo Clinic
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Atrial fibrillation2 yearsNumber of participants diagnosed with atrial fibrillation

Secondary

MeasureTime frameDescription
Change in individuals' maximum learning spanBaseline, 2 yearsMeasured using the Mayo Test Drive (MTD):Test Development through Rapid Iteration, Validation and Expansion. A web-based platform for remote self-administered cognitive assessment that uses the Stricker Learning Span (SLS), which is a computer adaptive word-list memory test that matches test difficulty to user performance. Maximum learning span is total number of words recognized.
Change in processing speed measureBaseline, 2 yearsMeasured using the Mayo Test Drive (MTD):Test Development through Rapid Iteration, Validation and Expansion. A web-based platform for remote self-administered cognitive assessment that uses a symbols test to measure processing speed reported in average completion time (seconds).
Ischemic stroke or systemic embolism events2 yearsNumber of ischemic stroke or systemic embolism events
Major bleeding2 yearsNumber of major bleeding events
Mortality2 yearsNumber of participant deaths

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORXiaoxi Yao, PhD

Mayo Clinic

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 10, 2026