An Analysis and Framework for Healthcare AI and Analytics Applications

Abstract

Following the advent of AI and analytics, the healthcare industry quickly became one of the most anticipated use cases for the new technology. By integrating analytics with AI, medical practice and healthcare are undergoing remarkable transformations, made possible by effective algorithms derived from diverse areas of IT. Indeed, many publications are released annually from various academic institutions and innovation hubs throughout the globe, yet there are worries regarding developments in their practical effectiveness. The healthcare industry is seeing an increasing number of potential instances of AIA implementations. This review article aims to provide a concise overview of artificial intelligence (AI) in healthcare during the last five years, covering a variety of methodologies and medical specialities. It also delves into the current concerns and challenges surrounding this groundbreaking technology. A grand total of 24,782 items were located. This paper's goal is to lay the groundwork for future research in artificial intelligence and artificial intelligence applications by outlining a framework that can be used to integrate different AIA technologies based on patient needs in different healthcare settings. This framework will be particularly useful for patients with chronic conditions, who often have multiple health issues and require extensive care.