NCT07486271

Artificial Intelligence in Aortic Regurgitation

Artificial Intelligence in Aortic Regurgitation: A Multicenter Randomised Controlled Trial

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 540 (estimated)
• Sponsor: Chinese University of Hong Kong · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Aortic Regurgitation Disease

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	AI-Assisted Group	Participants in this group will undergo aortic regurgitation assessment using an advanced artificial intelligence tool.
OTHER	Manual measurement group	Participants in this group will receive a traditional diagnostic assessment for aortic regurgitation, performed by trained sonographers following standard protocols.

Timeline

• Start date: 2025-12-01
• Primary completion: 2028-03-31
• Completion: 2028-03-31
• First posted: 2026-03-20
• Last updated: 2026-03-20

Locations

1 site across 1 country: Hong Kong