Main Article Content
Due to its usability to make any system smart, efficient and cos effective Artificial Intelligence (AI) can be applied in every sphere of our lives. Whether it is business, sales, marketing, or even healthcare and medical related field. The impact of AI in the field of healthcare and medical is absolutely life changing. Good results of AI application in this field make the development and innovation more enthusiastic and therefore public and private sector investment in healthcare encompassing areas such as healthcare, clinical research, drug development and insurance. Another challenge is the availability of expert doctors and medical staff along with availability of pharmacy store nearby. AI will definitely prove useful in simplifying clinical decision in various medical field especially in the area of radiology. The cognitive functions of the human can me imitated through the application of AI in this field through working on structured (e.g. image, genetic and electrophysiological data, etc.) and unstructured data (e.g. clinical notes and medical journals and also analytical techniques) to reach the sustainable inference through machine learning , and natural language processing (NLP), respectively. This paper is explaining the review of this field along with analysis of the literature available in the SCOPUS database.