Relevance Of Artificial Intelligence In Healthcare: An Exhaustive Review

Abstract

Artificial Intelligence (AI) has evolved as a transformational power in the healthcare sector, revolutionizing multiple facets of medical practice, starting from the detection of disease to the plan of treatment and care of patients. AI is creating a paradigm shift in healthcare because of the fact of increased accessibility of healthcare information & the swift progress of scientific methods. AI applies to varied healthcare data which includes both structured & unstructured data. Prominent AI applications encompass machine learning techniques for instance, classical support vector machine & neural network for the structured data, and modern deep learning & natural language processing for the unstructured data. AI algorithms have been proven to analyze huge proportions of patient data to detect patterns & forecast the progression of a disease facilitating a customized treatment plan & preventive interventions. Deriving upon the evidence from the secondary data sources which include medical & health sciences articles, the current study provides an extensive review of AI in healthcare. Derived from a qualitative content analysis, various subfields of AI in healthcare are portrayed. This article further uncovers the applications of AI in promoting individual and community health. Lastly, the articles close by concluding the leading AI systems in the context of a hospital setting.