Artificial Intelligence in HealthCare II

HT 18 Subject & Catalog Number

Description

This course introduces medical students to fundamental concepts at the core of artificial intelligence (AI), as applied to health care problems.  The goal is to provide health care practitioners with skills that will help them: 1) recognize what clinical problems AI, and machine learning (ML) in particular, can solve; 2) critically evaluate the growing literature that applies ML in a clinical context; and 3) appreciate the limitations of AI/ML when used to inform clinical decision making.  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).  Both the opportunities and challenges associated with the application of these methods are reviewed in detail.  No background in AI or Machine Learning is required.