Artificial Intelligence in Cardiovascular Diseases: Bytes for Beating Hearts

Abstract

Cardiovascular disease remains the leading culprit of death in the entire world. It poses one of the grave and rising
burdens on healthcare systems. In this case, artificial intelligence (AI), especially its parts, machine learning and
deep learning, has become a valuable companion of clinicians who are no longer seeing it as a subject of scientific
curiosity. This review paper will look at the influence of AI in the practice of modern cardiology. We discuss how
AI is transforming cardiovascular imaging by simplifying complex diagnosis and revealing subtle problems in
echocardiography and advanced syjtrtcans. We consider the spectacular recovery of the electrocardiogram. This
is possible with the assistance of AI to foresee future arrhythmia and unseen heart diseases on just a normal,
uninstructed tracing. We also discuss the trend toward much more personalized risk assessment, going far
beyond the scoring systems developed in the past. Nevertheless, there are pitfalls on the way to the algorithm
and clinics. In this review, the reviewer examines the four main challenges of data bias, the black box issue of
explanation, regulatory complications, and the introduction into clinical practice. When examining further what
these opportunities and challenges may mean in India, we propose that AI is not a replacement for clinicians.
Rather, it is a device to provide augmented intelligence with a future of more predictive, precise, and preventive
cardiovascular healthcare.