Healthcare Data Analytics Using Artificial Intelligence

Abstract

Artificial Intelligence (AI) is alleged as the greatest transformative technology of the twenty-first century. AI can be defined as the science and engineering of creating intelligent machines, specifically intelligent computer programs. The application of AI in different domains indicates the widespread involvement of this technology. One such application is in healthcare. Healthcare is one of the aspects which regulate health. Healthcare can be referred to as the systematized facility of medical care to the people and societies. Recently, the role of AI in healthcare is defined as “Augmented Intelligence” by the American Medical Association, declaring that AI is going to be designed and used to improve human intelligence rather than substituting it. AI in healthcare predominantly speaks about hospitals and doctors accessing enormous datasets of possibly lifesaving information. The application of AI algorithms in the field of medicine and healthcare would assist doctors to establish improved approaches and treatment strategies for patients. AI is used in all three traditional medical tasks: diagnosis, prediction, and therapy. This chapter discusses the relationship between AI and healthcare, healthcare data collection and storage system, medical data pre-processing, AI algorithms for healthcare, AI methodology for medical and medicinal diagnosis, selection and extraction of features using AI, disease diagnosis with AI, medical image processing with AI, and patient care and treatment with AI.