AI-Powered ultrasound aims to solve heart diagnosis dilemma

NCT ID NCT07436299

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will test new ultrasound techniques, combined with artificial intelligence, to more accurately measure heart filling pressure in patients who have both heart failure and atrial fibrillation. Current methods are unreliable for these patients, making diagnosis and treatment difficult. Researchers will enroll 400 participants from multiple hospitals to develop and validate a better diagnostic tool, with the goal of predicting who is at highest risk for hospitalization or death.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium

    Aalst, 9300, Belgium

  • Carol Davila University of Medicine and Pharmacy

    Bucharest, 020021, Romania

  • Catholic University of Leuven

    Leuven, 3000, Belgium

  • Cleveland Clinic

    Cleveland, Ohio, 44195, United States

  • Department of Cardiovascular Sciences, University of Birmingham

    Birmingham, United Kingdom

  • Division of Cardiovascular & Pulmonary Diseases, Oslo University Hospital

    Oslo, Oslo, 0424, Norway

  • Ehime University

    Tōon, Ehime, 791-0295, Japan

  • King's College

    London, WC2R2LS, United Kingdom

  • Laboratory Signal Processing and Image, Department of Cardiology

    Rennes, 35033, France

  • Methodist DeBakey Heart and Vascular Center

    Houston, Texas, 77030, United States

  • Nagoya City University Graduate School of Medical Sciences

    Nagoya, Aichi-ken, 467-8601, Japan

  • Service de Cardiologie, Hôpitaux Universitaires de Strasbourg

    Strasbourg, 67091, France

  • The Department of Cardiology at the Ljubljana University Medical Centre

    Ljubljana, SI-1525, Slovenia

  • University of Auckland

    Auckland, Auckland, 1010, New Zealand

  • Yonsei University College of Medicine

    Seoul, Seoul, 03722, South Korea

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