AI-Powered heart scans could save lives by predicting hospitalization risk
NCT ID NCT07436299
Summary
This study aims to develop better ultrasound methods to measure heart pressure in people who have both heart failure and atrial fibrillation. Current ultrasound tools are unreliable for these patients, making diagnosis and treatment planning difficult. Researchers will test new techniques combined with artificial intelligence on 400 patients across multiple countries, hoping to create a more accurate tool that can also predict which patients are at highest risk of hospitalization or death.
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Contacts and locations
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Study contacts
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Contact
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Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium
Aalst, 9300, Belgium
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Carol Davila University of Medicine and Pharmacy
Bucharest, 020021, Romania
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Catholic University of Leuven
Leuven, 3000, Belgium
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Cleveland Clinic
Cleveland, Ohio, 44195, United States
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Department of Cardiovascular Sciences, University of Birmingham
Birmingham, United Kingdom
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Division of Cardiovascular & Pulmonary Diseases, Oslo University Hospital
Oslo, Oslo County, 0424, Norway
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Ehime University
Tōon, Ehime, 791-0295, Japan
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King's College
London, WC2R2LS, United Kingdom
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Laboratory Signal Processing and Image, Department of Cardiology
Rennes, 35033, France
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Methodist DeBakey Heart and Vascular Center
Houston, Texas, 77030, United States
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Nagoya City University Graduate School of Medical Sciences
Nagoya, Aichi-ken, 467-8601, Japan
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Service de Cardiologie, Hôpitaux Universitaires de Strasbourg
Strasbourg, 67091, France
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The Department of Cardiology at the Ljubljana University Medical Centre
Ljubljana, SI-1525, Slovenia
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University of Auckland
Auckland, Auckland, 1010, New Zealand
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Yonsei University College of Medicine
Seoul, Seoul, 03722, South Korea
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Conditions
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