Abstract: One of the most intriguing new developments in artificial intelligence is machine learning. There are several daily-used programs that incorporate learning algorithms. The moment to search the internet, a web search engine like Google or Bing is utilized. One of the reasons the internet functions so well is that a Google-implemented learning algorithm Microsoft has mastered the art of ranking websites. Each time Facebook is utilized, and it also identifies friends' images computer learning. Email spam filters protect users from also annoying to have to go through a ton of spam mails. In this essay, a quick summary and potential. The potential for machine learning's numerous applications has been created. The use of artificial intelligence (AI) has grown across numerous industries, including healthcare. Today, health care organizations of all sizes, types, and specializations are more interested in how artificial intelligence has developed and is assisting with patient requirements and care while also lowering costs and boosting effectiveness. This study investigates the effects of AI on healthcare administration, and problems associated with implementing AI in healthcare, as well as an analysis of numerous academic papers that employed AI models in a variety of healthcare fields, including dermatology, radiology, drug development, etc. The functions and services of healthcare have been significantly improved by the rise of machine learning (ML) and blockchain (BC). This study uses bibliometric visualization to examine how ML and BC are applied in the field of smart medicine. We list the nations with the highest output and most popular research topics.
Keywords: Artificial intelligence, Machine learning, Supervised learning, Unsupervised learning, Reinforcement learning Applications, Blockchain.
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DOI:
10.17148/IJARCCE.2022.116124
