European Journal of Molecular & Clinical Medicine

Abstract

Recent years have seen a meteoric rise in the pharmaceutical industry's digitalization of data. Yet the difficulty of gathering, analyzing, and applying such knowledge to tackle complicated clinical problems is a consequence of digitization. Because of its ability to process vast amounts of data with greater automation, AI is being used for this reason. Artificial intelligence (AI) refers to a technological system that uses a collection of sophisticated tools and networks to simulate human intelligence. Also, it doesn't pose a serious threat to supplant humans in every situation where they're physically present. Artificial intelligence (AI) makes use of computers and software that can analyze and learn from data on their own to choose the best course of action for achieving goals. This review explains how its applications are rapidly expanding in the pharmaceutical industry. Data extraction was done according to the standard Cochrane systematic review methodology. Pubmed, Web of Science, Scopus, and Embase databases were searched from the year 2000 to 2022, for r'andomized clinical trials (RCT)and observational studies.