This lecture will provide an overview of the current state of AI in health care and discuss the potential applications and implications of this rapidly growing technology. The lecture will begin by introducing basic concepts of AI, including machine learning and deep learning, and how they are being used in health care. We will then move on to discuss specific use cases, such as predictive analytics and diagnostic decision support systems. We will also discuss the potential ethical, legal, and social implications of AI in health care, as well as the challenges and opportunities that the health care sector may face in the future. Finally, we will discuss ways in which AI can be used to improve patient outcomes and overall health care quality. By the end of the lecture, attendees will have a better understanding of the current state of AI in health care and the opportunities and challenges that lie ahead.