Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods

The incidence rate and mortality of coronary artery disease are increasing year by year. Exploring non-invasive, accurate, and widely applicable methods to screen and diagnosis is of great significance. New ultrasound techniques, such as non-invasive myocardial work, have been proven to be superior to traditional ultrasound techniques in screening and diagnosis. However, diagnostic analysis based on ultrasound video images is time-consuming and subjective. The progress of artificial intelligence technology in fully automated quantitative evaluation of video images provides the possibility for computer-aided design screening and diagnosis. At present, the application of artificial intelligence in computer-aided design is a cutting-edge issue in the field of cardiovascular disease research. The application of artificial intelligence technology in the construction of computer-aided diagnostic models based on ultrasound video images is still in its early stages.

NCT Number	NCT06314295
Lead Sponsor	Beijing Hospital
Conditions	Coronary Artery Disease
Enrollment	1,500 participants
Start Date	2024-03-11
Primary Completion	2026-03-11 (estimated)
Study Completion	2026-05-11 (estimated)
Updated on ClinicalTrials.gov	2025-11-21