Applications of Machine Learning in Cardiology
Karthik Seetharam1,2, Sudarshan Balla3, Christopher Bianco3
1Medicine Heart and Vascular Institute, West Virginia University, 1 Medical Center Drive, Morgantown, WV, 26506, USA. skarthik87@yahoo.com.
Abstract:
In this digital era, artificial intelligence (AI) is establishing a strong foothold in commercial industry and the field of technology. These effects are trickling into the healthcare industry, especially in the clinical arena of cardiology. Machine learning (ML) algorithms are making substantial progress in various subspecialties of cardiology. This will have a positive impact on patient care and move the field towards precision medicine. In this review article, we explore the progress of ML in cardiovascular imaging, electrophysiology, heart failure, and interventional cardiology.
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