This document discusses the use of artificial intelligence in healthcare. It outlines how machine learning can help improve diagnosis, treatment recommendations, and patient outcomes by learning from large amounts of medical data. The application of AI in medicine has two main branches: virtual applications using algorithms and machine learning, and physical applications including medical devices and robotic surgery. Some benefits of AI include improved clinical decision making, early diagnosis, and reduced medical errors. Challenges include costs, integration issues, data privacy, and the need for continued training on new clinical data. The future of AI in Indian healthcare could involve greater collaboration between medical and technical institutions to build systems that improve clinical applicability and value.