Artificial intelligence (AI) is the field of computer sciences devoted to building smart machines capable of performing tasks that typically require human-level intelligence. The application of novel technologies like AI, machine learning (ML) and Deep learning (DL) in medical diagnostics could play a role in transforming the future of health care. Artificial neural networks such as deep neural networks or recurrent networks drive this area. AI helping patient care and intelligent health systems. AI can analyse identifying and diagnosing diseases more accurately and quickly. DL (a subset of ML) constitute the virtual component of AI plays a pivotal role in drug discovery. The widespread adoption of ML, in particular DL, in multiple scientific disciplines, and the advances in computing DL hardware and software, among other factors, continue to fuel this development-based approaches have only begun to address some fundamental problems in drug discovery. Research and development work is going worldwide. Here we tried to present AI application in various fields from health sector to drug discovery. We analysed the literature through PubMed and other ways of scientific search engines and also understand AI applications and presented in this paper. The finding are significant and understand how computational power is applied in the development of AI, its growing amount of digitized data, are analysed with accuracy and speed by AI. In this review, we discuss the basics of AI followed by an outline of its application in medical diagnostics and drug discovery.