Artificial Intelligence Use for the Detection of Atrial Fibrillation Drivers

NCT ID: NCT03401931

Last Updated: 2020-04-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

WITHDRAWN

Study Classification

OBSERVATIONAL

Study Start Date

2018-01-09

Study Completion Date

2018-01-09

Brief Summary

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pilot clinical study, multicenter, prospective, open, nonrandomized

Detailed Description

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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

Conditions

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

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Exclusion Criteria

\-
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hospital St. Joseph, Marseille, France

OTHER

Sponsor Role lead

Responsible Party

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SEITZ JULIEN

Cardiologist, Electrophysiology specialist

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Julien SEITZ, MD

Role: PRINCIPAL_INVESTIGATOR

Hopital saint Joseph

Locations

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Hopital d'Aix en Provence

Aix-en-Provence, , France

Site Status

CHU Nice

Nice, , France

Site Status

Isala Hospital

Zwolle, Netherland, Netherlands

Site Status

Countries

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France Netherlands

Other Identifiers

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HSJ_AIFIB_2017

Identifier Type: -

Identifier Source: org_study_id

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