Pervasive Nature of AI in the Health Care Industry: High-Performance Medicine

Abstract

In recent years, there has been a rapid development in artificial intelligence (AI) in terms of hardware implementation, software algorithms, and applications across a wide range of fields. AI has the potential to completely change healthcare delivery and medical practice. This paper discusses the potential future path of AI-augmented healthcare systems, outlines current advancements in the field, and outlines a road map for developing efficient, dependable, and safe AI systems. The utilisation of labelled large data, together with significantly increased processing power and cloud storage, has made artificial intelligence and the deep-learning subtype in particular, possible in all fields. This is starting to affect medicine on three fronts: first, by allowing physicians to interpret images quickly and accurately; second, by enhancing workflow and potentially lowering medical errors in health systems; and third, by empowering patients to handle their own data to improve their own health. This research work will address the applications present limitations—such as prejudice, privacy and security concerns, and a lack of transparency—as well as their potential future paths. It is expected that significant gains in accuracy, productivity, and workflow will be realised over time; however, it is unclear if these gains will strengthen or worsen the patient-doctor bond.