The course provides an introduction to the application of AI techniques in medicine. It gives an overview of the AI techniques used in developing knowledge-based systems. The content includes: expert systems, knowledge representation (including rules, neural networks and Bayesian nets), machine learning and natural language processing. It covers in detail three areas: the induction of clinical knowledge from data, the elicitation of clinical knowledge from medical experts and its incorporation in a knowledge-based system. The course compares heuristic versus algorithmic methods and provides tools for dealing with uncertainty and exploiting constraints. The practical component of the course involves expert system development for a small health decision problem.