Artificial Intelligence Use for the Detection of Atrial Fibrillation Drivers

Status

Withdrawn

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT03401931

Acronym

AI Fib

Enrollment

Registered

2018-01-17

Start date

2018-01-09

Completion date

2018-01-09

Last updated

2020-04-28

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

Conditions

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

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

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

major patient with an indication of AF or AT ablation -

Exclusion criteria

Design outcomes

Primary

Measure	Time frame	Description
AF termination	during the ablation procedure	conversion to sinus rhythm or stable atrial tachycardia

Secondary

Measure	Time frame	Description
AT termination	during the ablation procedure	conversion to sinus rhythm

Countries

France, Netherlands

Outcome results