Artificial Intelligence for Health and Healthcare
Over the coming decades, data and algorithms will transform medicine and our health care system. Whether you plan to be a physician, scientist, AI developer, or policy-maker, this course will help you understand: (1) the tremendous upside of artificial intelligence for health, and (2) how well-intentioned efforts to apply these tools can do harm. The course will be quantitative (e.g., technical readings; problem sets requiring statistical software), and is designed for students with at least intermediate coursework in statistics, economics, computer science,etc.
Topics
- Students will learn about several problems in health care where artificial intelligence is helping doctors and policy makers. Students will also come away with a list of several ‘red flags’ -- unique challenges of health data that make it difficult to apply algorithms that have been successful in other fields. This will help them become better and more critical consumers of literature and news in this area. Finally, students will learn to identify new unsolved problems where data and algorithms could improve health and medicine, and start to think about developing solutions.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1253642', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1480472', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1253641', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1051691', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1051701', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1253643', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1480471', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1480473', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027