Background The global expansion of COVID-19 has made the development of pharmacological drugs a more pressing and important area of study. The expensive and time-consuming process of developing new drug molecules to treat any disease continues unabated. Over the past 20 years, artificial intelligence has substantially improved the performance of industrial and service systems. Expert systems, a rapidly developing technology, are a product of artificial intelligence research. Applications Today, it is commonly used to solve complex problems in a range of fields, including science, engineering, business, medicine, and weather forecasting. Sectors utilizing artificial intelligence technology have seen improvements in quality and efficiency. Utilizing existing data resources and discovering fresh and innovative leads is a crucial aspect of drug design. Following identification of the pharmacological target, numerous multidisciplinary fields collaborate using artificial intelligence (AI) and machine learning (ML) techniques to produce enhanced pharmaceuticals. Scope Artificial intelligence-powered medical technology is swiftly evolving into practical clinical practice-related solutions. This review article illustrates the application of artificial intelligence (AI) to a variety of medical specialties from the perspectives of seven different fields: machine learning, intelligent robotics, image recognition technology, expert systems, artificial neural networks, and evolutionary computation, followed by the potential and existing uses of AI in medicine