Role of Artificial Intelligence in Health care System

Abstract

The Indian healthcare scenario presents a spectrum of contrasting landscapes. In all, 400 million individuals had no access to any form of basic healthcare while two billion people do not have access to required medications. Therefore, more than one-fourth of the world population has unmet health needs. This leaves the global community with the challenge of how to support a significant number of the world’s populace still lacking in access to basic healthcare facilities. AI has been a disruptive healthcare innovation. With its sophisticated algorithms and several applications, AI has assisted doctors and medical professionals in the domains of health information systems, geocoding health data, epidemic and syndromic surveillance, predictive modelling and decision support, and medical imaging. Artificial intelligence (AI) rapidly dominates the health service system. It removes the manual health system into automatic, in which humans conduct the routine works/tasks in medical practice to the management of patients and medical resources. Drug development is a famously costly procedure. Machine Learning can improve the efficiency of many of the analytical techniques used in drug development. In terms of practical implications, this paper aims to create a fruitful discussion with healthcare professionals and administrative staff and the role of artificial intelligence in healthcare system. Furthermore, this investigation offers a broad comprehension of bibliometric variables of AI techniques in healthcare.