Abstract: During recent decades, the growing relevance of Artificial Intelligence (AI) in the field of health and medicine has sought exceptional research interest. AI is already helping us to diagnose diseases more effectively, develop drugs, customize treatments and even edit genes. Artificial Intelligence (AI) research in the field of medicine has been rising briskly. Healthcare AI initiatives, in 2016, have received more funding than AI projects in any other field of the world economy. The goal of this article is to examine and discuss health and medicine published studies related to the area of Artificial Intelligence, published in Peer Review Journals and indexed for the period 2008-2019 in the Web of Science Core Collection. The analysis examines, how the adoption of Artificial Intelligence has opened new avenues for exploration by taking into consideration the publication volume, authors and countries that have collaborated. Also, how digitizing and unifying the medical data would lead to AI finding useful pattern. A worldwide nexus of significant techniques like, involving authors' keywords and content assessment of relevant research literature were underlined, Machine learning, Artificial Neural Network, Artificial intelligence, Deep Learning. This study takes detailed evaluation for emerging AI developments and future general usage prospects.