Applications of Machine Learning in Cardiology
Karthik Seetharam, Sudarshan Balla, Christopher Bianco, Jim W. Cheung, Roman Pachulski, Deepak Asti, Nikil Nalluri, Astha Tejpal, Parvez Mir, Jilan Shah, Premila Bhat, Tanveer Mir, Yasmin S. Hamirani
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.