Automated Echocardiographic Detection of Coronary Artery Disease Using Artificial Intelligence Methods

Different coronary angiography results

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.