Blinded Randomized Controlled Trial of Artificial Intelligence Guided Detection of Intracardiac Thrombus

NANot yet recruitingINTERVENTIONAL
Enrollment

1,500

Participants

Timeline

Start Date

January 5, 2024

Primary Completion Date

July 31, 2025

Study Completion Date

December 31, 2025

Conditions
Atrial Fibrillation
Interventions
OTHER

Automated detection of the intracardiac thrombus through deep learning

A deep learning model will identify the intracardiac thrombus. The AI model will produce an assessment of intracardiac thrombus using video based features.

OTHER

Electrophysiologist judgment of the intracardiac thrombus

Cardiac electrophysiologists use their own experience to determine whether there is intracardiac thrombus

Trial Locations (1)

200030

Shanghai Chest Hospital, Shanghai

Sponsors

Collaborators (1)

All Listed Sponsors
collaborator

Johnson & Johnson

INDUSTRY

lead

Shanghai Chest Hospital

OTHER