Title: Artificial Intelligence for Medicine

Units: 6

Pre-requisites: None

Description:

This course introduces Artificial Intelligence (AI) and its recent applications in medicine to students with only a little or no background in computer science. It starts by motivating and defining AI, before folding over to a survey of some of its newest applications to medicine, including diagnosis, prognosis, drug discovery, and recommendations of individualized treatments, to mention just a few. Afterwards, it provides a bird’s-eye view of some of the major AI techniques, including machine learning, deep neural networks, recommendation systems, and ranked retrieval. Finally, it concludes with a discussion on some of the concerns related to AI, including ethical issues, job security, society, and healthcare institutions, among others.

The course comprises a balance of lectures, case studies, live demonstrations of some medical AI applications, problem-solving assignments, and research tasks. The students will be exposed to industry- and research-based perspectives on AI for medicine. In addition, they will learn through an optional programming project the nuances of applying some AI models to solve concrete problems in medicine.