Clinical trial Recruiting at 4 sites Observational Ages 18 and up

Registry collecting imaging data for patients with atrial fibrillation

Official title: Multimodal, Multicentre Registry of Clinical and Imaging Data to Develop Predictive Models Based on Artificial Intelligence to Support the Diagnostic and Therapeutic Process for Patients with Atrial Fibrillation Undergoing Catheter Ablation and Cardioversion.

Run by University in Zielona Góra · NCT06584266 · Data updated 2026-11-12

This study is collecting imaging data from patients with atrial fibrillation to see if artificial intelligence can help predict blood clots in the heart before they undergo treatment.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment3000 (estimated)
SponsorUniversity in Zielona Góra
Academic / other
Locations7 sites (Brno and 6 other locations)
StatusRecruiting
StartedJanuary 1, 2024
Main results expectedSeptember 2026
Study endsSeptember 2027
Registry record updatedSeptember 4, 2024
Trial IDNCT06584266 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are patients diagnosed with atrial fibrillation or atrial flutter who are scheduled to undergo transesophageal echocardiography.

Probably not a fit

Patients under 18 years old or those unable to provide informed consent will not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational registry aims to gather a curated dataset of multimodal imaging data from patients with atrial fibrillation or flutter who undergo transesophageal echocardiography prior to catheter ablation or cardioversion. The study focuses on utilizing artificial intelligence to analyze transthoracic echocardiography video images combined with clinical data to predict the presence of left atrial appendage thrombus. By developing and validating an AI model, the study seeks to enhance risk prediction and outcomes for these patients.

Why it matters

Potential benefit: If successful, this study could lead to improved prediction of thrombus presence, potentially reducing the risk of stroke in patients with atrial fibrillation.

How similar studies have gone: Other studies have shown promise in using AI for medical imaging analysis, suggesting potential success for this approach.

Who can join: the full rules

Show full inclusion / exclusion criteria
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

Where it's running

  • Nowa Sol Multidyscyplinary Hospital
    Nowa Sól, Lubusz Voivodeship, Poland
    Recruiting
  • John Paul II Hospital
    Krakow, Poland
    Recruiting
  • Military Institute of Medicine National Research Institute
    Warsaw, Poland
    Recruiting
  • Collegium Medicum, University of Zielona Góra
    Zielona Góra, Poland
    Recruiting
  • St. Anne Hospital
    Brno, Czechia
    Not yet recruiting
  • Medical University of Silesia
    Katowice, Poland
    Not yet recruiting
Show 1 more location
  • National Institute of Cardiology
    Warsaw, Poland
    Not yet recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.