Using AI to select patients for atrial fibrillation catheter ablation

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This clinical trial investigates the use of artificial intelligence (AI) to improve patient selection for atrial fibrillation catheter ablation (AFCA). It involves a prospective randomization of 1000 patients into two groups: one guided by AI predictions and the other following conventional clinical guidelines. The study aims to evaluate the efficacy of AI in predicting poor responders to AFCA and to track patient outcomes through regular follow-ups. The trial will also assess adverse events and hospitalization rates between the two groups.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Left atrium size \< 55 mm
2. AF recurred during the administration of antiarrhythmic drugs or that antiarrhythmic drugs intolerable patients
3. Patients eligible for anticoagulant therapy (to prevent thromboembolic events)

Exclusion Criteria:

1. AF associated with severe cardiac anomalies or structural heart disease with hemodynamic influence
2. Patients who have difficulty in CT imaging using a contrast medium
3. Patients with active internal bleeding
4. Inappropriate anticoagulant therapy
5. Serious comorbidities
6. Patients expected to survive less than 1 year
7. People with drug or alcohol addiction
8. Those who cannot read the consent form (illiterate, foreigners, etc.)
9. Patients who are judged unsuitable for participation in clinical research by the judgment of other investigators

Where it's running

• Severance Hospital, Yonsei University Health System
  Seoul, South Korea Recruiting

Study contacts

• Principal investigator: Hui-Nam Pak — Severance Hospital, Yonsei University Health System
• Study coordinator: Hui-Nam Pak
• Email: hnpak@yuhs.ac
• Phone: 82-2-2228-8459

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.