Artificial Intelligence Use for the Detection of Atrial Fibrillation Drivers

Withdrawn

• Conditions: Fibrillation, Atrial; To Evaluate the Intraoperative Efficiency of the AIFIB Software in the Detection of Atrial Fibrillation Driver During an Ablation Procedure

• Registration Number: NCT03401931
• Lead Sponsor: Hospital St. Joseph, Marseille, France

Brief Summary

pilot clinical study, multicenter, prospective, open, nonrandomized

Detailed Description

The hypothesis is that ablation targeting PVI alone for the treatment of persistent AF is less efficient that ablation targeting electrophysiologic areas with spatio-temporal-dispersion with or without PVI

Study Timeline

• Study Start: 2018-01-09
• Primary Completion: 2018-01-09
• Study Completion: 2018-01-09
• Study First Submitted: 2018-01-09
• Study First Submitted QC: 2018-01-09
• Study First Posted: 2018-01-17
• Status Verified: 2020-04
• Last Update Submitted: 2020-04-24
• Last Update Posted: 2020-04-28

Recruitment & Eligibility

• Status: WITHDRAWN
• Sex: All
• Target Recruitment: Not specified

Inclusion Criteria

major patient with an indication of AF or AT ablation -

Exclusion Criteria

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
AF termination	during the ablation procedure	conversion to sinus rhythm or stable atrial tachycardia

Secondary Outcome Measures

Name	Time	Method
AT termination	during the ablation procedure	conversion to sinus rhythm

Trial Locations

Locations (3)

CHU Nice; 🇫🇷 Nice, France

Isala Hospital; 🇳🇱 Zwolle, Netherland, Netherlands

Hopital d'Aix en Provence; 🇫🇷 Aix-en-Provence, France