Multimodal Cardiac Imaging Registry in Patients with Atrial Fibrillation

Recruiting now

Conditions studied: Atrial Fibrillation and Flutter, Heart Failure, Artificial Intelligence (AI), Echocardiography

In brief

The goal of this observational registry is to collect a curated dataset of multimodal imaging data that will serve for development of artificial-intelligence based solutions for prediction of risk and outcomes in patients with atrial fribrillation. Type of study: observational study Study Participants: Patients with atrial fibrillation or atrial flutter who undergo clinically indicated transesophageal echocardiography before catheter ablation or cardioversion. We hypothesize, that automatic analysis of video images of transthoracic echocardiography with deep learning combined with clinical data can predict the presence of left atrial appendage thrombus (LAT). Therefore, our main aim is to create and validate an artificial intelligence model to predict the presence of LAT based on automatic analysis of transthoracic echocardiography with artificial intelligence.

Key facts

Study ID
NCT06584266
Run by
University in Zielona Góra
People needed
3000
Starts
2024-01-01
Expected to finish
2027-09-01
Last updated by the study team
2024-09-04

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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