Cardiovascular medicine perspective using artificial intelligence
As the importance of artificial intelligence (AI) in the clinical setting increases, the need for clinicians to understand Al is also increasing. This review focuses on the fundamental principles of Al and the cur rent state of cardiovascular Al. Various types of cardiovascular Al have been developed for evaluating examinations such as X-rays, electrocardiogram, echocardiography, computed tomography, and magnetic resonance imaging. Cardiovascular Al achieves high accuracy in diagnostic support and prognosis pre diction. Furthermore, it can even detect abnormalities that were previously difficult for cardiologists to detect. Randomized controlled trials begin to be reported to verify the usefulness of cardiovascular Al. The day is approaching when cardiovascular Al will be commonly used in clinical practice. Various types of medical Al will be used for cardiovascular care; however, it will not replace medical doctors. We need to understand the strengths and weaknesses of medical Al so that cardiologists can effectively use Al to improve the medical care of patients.
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