Artificial Intelligence Supported Patient Care in Cardiovascular Diseases: A Paradigm Shift from Conventional to Digital

Abstract

In the transforming era of healthcare, evolving digital innovations have proven to be a powerful tool in cardiovascular medicine and diagnostics. Artificial intelligence is popularly well known as machine intelligence, the computer science branch that simulates the human mind process. Interestingly, cardiology is at the forefront of the AI revolution in the field of medicine. It inculcates the complex computational algorithms that assist in managing the exploding multidimensional data, analyzes the information, imaging, and automates clinical decision making or a range of other tasks. Currently, AI is being employed in various sectors of healthcare, such as diagnosis and treatment recommendations, administrative actions, clinical decision making, problem solving, non-invasive modalities, detection and interpretations, use of wearable devices, and patient engagement and adherence, etc. The rapid pace of artificial intelligence highlights that the future of cardiology will be heavily based on these emerging digital advancements, despite knowing the ethical dilemmas in the implementation of AI in the actual world.