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Artificial Intelligence in Aortic Regurgitation
Sponsor: Chinese University of Hong Kong
Summary
This research project aims to develop and validate a tool that uses artificial intelligence (AI) to automatically detect and quantify aortic regurgitation (AR). The clinical efficacy of this tool will be established by comparing it to manual diagnostic methods in a multicenter randomized controlled trial. By leveraging deep learning (DL) techniques, the AI system will automate aortic regurgitation (AR) detection, measurement, and diagnosis, addressing challenges like variability in echocardiographic interpretations and the need for specialized expertise. It will integrate multiple echocardiographic parameters to provide accurate, standardized, and efficient AR diagnoses, reducing human error and improving consistency. This tool will enhance diagnostic precision and accessibility, improving clinical outcomes and extending advanced diagnostic capabilities to a broader range of healthcare environments, including resource-limited settings.
Official title: Artificial Intelligence in Aortic Regurgitation: A Multicenter Randomised Controlled Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
540
Start Date
2025-12-01
Completion Date
2028-03-31
Last Updated
2026-03-20
Healthy Volunteers
No
Conditions
Interventions
AI-Assisted Group
Participants in this group will undergo aortic regurgitation assessment using an advanced artificial intelligence tool.
Manual measurement group
Participants in this group will receive a traditional diagnostic assessment for aortic regurgitation, performed by trained sonographers following standard protocols.
Locations (1)
Division of Cardiology, Department of Medicine and Therapeutics Faculty of Medicine, The Chinese University of Hong Kong
Hong Kong, New Territories, Hong Kong