Key result
AI and machine learning offer major potential to advance precision cardiovascular care despite current challenges.
Why the study?
Artificial intelligence techniques have been increasingly applied in cardiovascular medicine, but challenges remain that may limit their clinical impact.
Artificial intelligence has tremendous potential to facilitate a paradigm shift toward precision cardiovascular medicine, provided its challenges are properly addressed.
Clinicians must address AI challenges to realize precision cardiovascular benefits; leaves open optimal integration pending rigorous validation studies.
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine and statistics, to apply the optimal machine-learning algorithm. In the near future, AI will result in a paradigm shift toward precision cardiovascular medicine. The potential of AI in cardiovascular medicine is tremendous; however, ignorance of the challenges may overshadow its potential clinical impact. This paper gives a glimpse of AI's application in cardiovascular clinical care and discusses its potential role in facilitating precision cardiovascular medicine.
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Krittanawong et al. (2017) conducted a review in Cardiovascular disease. Artificial intelligence was evaluated. Artificial intelligence and machine-learning techniques have tremendous potential to facilitate precision cardiovascular medicine and improve patient care, despite existing challenges.
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