Artificial intelligence demonstrates promising applications in coronary artery disease, including clinical risk prediction models, advanced cardiac imaging, and guiding treatment decisions.
Artificial intelligence is a promising tool in cardiovascular medicine, with applications in risk prediction, imaging, and decision-making for coronary artery disease.
Cardiovascular diseases (CVDs) carry significant morbidity and mortality and are associated with substantial economic burden on healthcare systems around the world. Coronary artery disease, as one disease entity under the CVDs umbrella, had a prevalence of 7.2% among adults in the United States and incurred a financial burden of 360 billion US dollars in the years 2016-2017. The introduction of artificial intelligence (AI) and machine learning over the last two decades has unlocked new dimensions in the field of cardiovascular medicine. From automatic interpretations of heart rhythm disorders via smartwatches, to assisting in complex decision-making, AI has quickly expanded its realms in medicine and has demonstrated itself as a promising tool in helping clinicians guide treatment decisions. Understanding complex genetic interactions and developing clinical risk prediction models, advanced cardiac imaging, and improving mortality outcomes are just a few areas where AI has been applied in the domain of coronary artery disease. Through this review, we sought to summarize the advances in AI relating to coronary artery disease, current limitations, and future perspectives.
Gautam et al. (Wed,) conducted a review in Coronary artery disease. Artificial intelligence was evaluated. Artificial intelligence demonstrates promising applications in coronary artery disease, including clinical risk prediction models, advanced cardiac imaging, and guiding treatment decisions.
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