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.
Patients with suspected coronary artery disease
Patients plan to undergo coronary angiography
Patients with aortic valve stenosis
Patients with aortic valve replacement surgery
Patients with hypertrophic cardiomyopathy
Patients with severe heart valve disease
Patients with suspected coronary artery disease who plan to undergo coronary angiography
Other
Prospective
Not listed
Different coronary angiography results
The degree of coronary artery stenosis
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