Prediction of recurrence in catheter ablation for atrial fibrillation using artificial intelligence

Atrial Fibrillation Recurrence Classifier using Artificial Intelligence - ARC-AI

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000057831

Enrollment

300

Registered

2025-05-11

Start date

2025-11-19

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

atrial fibrillation

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who undergo their first catheter ablation are planned to be included

Exclusion criteria

Exclusion criteria: Patients who do not meet the age criteria will be excluded.

Design outcomes

Primary

Measure	Time frame
Atrial fibrillation recurrence following catheter ablation.	—

Secondary

Measure	Time frame
By examining the rationale behind the AI's predictions of AF recurrence, we aim to investigate the underlying mechanisms of recurrence.	—

Countries

Japan

Contacts

Public ContactTadashi Hoshiyama

Kumamoto University Cardiovascular medicine

tadashi@kumamoto-u.ac.jp096-373-5175

Outcome results