This course provides an introduction to Artificial Intelligence in Medicine （AIM）. Topics talked will help students to achieve the following 4 main objectives:1) Highlight fundamental AI concepts and development milestones: introduce the AI development history, the formation of some key AI concepts like Agent, Learning, Reasoning and key algorithms like Perceptron, SVM, CNN algorithms, and importantly biological, psychological and medical foundations behind AI development. Teaching medical students the inherited relationship between the AI and Medicine development.2) Introduce the AI models, algorithms and platforms behind the medicine research in terms of CAD (Computer Aided medical Diagnosis) for medical disease screening, CAI (Computer Aided Intervention) for medical operation planning/intervention/evaluation.3) Introduce the popular deep neural network ALPHAFOLD and various popular deep learning network structures and development platforms. Introduce data driven deep learning model and how it can be combined with the medicine big data to assist medical science discovery.4) Inspire student’s interest using AI for their medical career: In order to encourage students to engage AI in their medical careers and study, various AI medical applications will be introduced and discussed. Students are asked to work on AI medical application projects with the help from clinicians, group project presentation will be graded.