Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19) - Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000061039

Enrollment

5000

Registered

2026-04-01

Start date

2023-04-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Patients visiting a cardiovascular specialty hospital

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All the ambulant patients in our hospital who underwent ECG who consented to participate in the study

Exclusion criteria

Exclusion criteria: Patients who do not consent to participate in the study

Design outcomes

Primary

Measure	Time frame
Number of 12-lead ECG, Holter ECG, and long-term Holter ECG and detection rate of atrial fibrillation in our hospital.	—

Countries

Japan

Contacts

Public ContactShinya Suzuki

The Cardiovascular Institute Department of Cardiovascular Medicine

s-suzuki@cvi.or.jp03-3408-2151

Outcome results