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Multimodal Cardiac Imaging Registry in Patients with Atrial Fibrillation

RECRUITINGSponsored by University in Zielona Góra
Actively Recruiting
SponsorUniversity in Zielona Góra
Started2024-01-01
Est. completion2026-09
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06584266

Summary

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.

Eligibility

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

\- All patients with AF or AFl in whom TEE will be performed (to assess their eligibility for cardioversion or ablation), hospitalized in a participating center during study period (all consecutive patients).

Exclusion Criteria:

Age\<18, lack of informed, written consent to the TEE

Conditions5

Artificial Intelligence (AI)Atrial Fibrillation and FlutterEchocardiographyHeart DiseaseHeart Failure

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