Complex medical data can be extracted using artificial intelligence, a branch of computer science. Their capacity to identify meaningful relationships within a data set can be applied in a variety of therapeutic settings for outcome prediction, diagnosis, and treatment. Artificial intelligence in medicine is developing swiftly. Artificial intelligence-powered medical technology is fast becoming practical clinical practice-related solutions. The increasing amounts of data generated by mobile monitoring sensors found in wearables, smartphones, and other medical equipment can be handled by machine learning algorithms. The use of Artificial Intelligence (AI) in many medical professions is discussed in this illustrative article from the perspectives of seven distinct fields: machine learning, intelligent robotics, image recognition technology, expert systems, artificial neural networks, and evolutionary computation. Additionally, it covers AI's prospective and current applications in medicine.