• Introduces fundamental concepts at the core of artificial intelligence (AI), as applied to health care problems. Didactic lectures, problem sets, and review/analyses of seminal papers in the field. Specific topics include: deep learning for clinical risk stratification, explaining complex machine learning models, bias and fairness in clinical machine learning, large language models, and Generative Pretrained Transformers (GPT models). No background in AI or machine learning is required. Only HST students may register under HST.016, which is graded P/D/F. Enrollment limited.

• Textbook Information

There is no information available for this course.