Training AI Models in Healthcare on Relevant and Unbiased Data

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Nigam Shah, MBBS, PhD, professor of medicine at Stanford University and chief data scientist at Stanford Health Care, to discuss how large language models are reshaping medicine and the potential pitfalls of automation. Related Content:

• Clinical AI Tools Must Be Fed the Right Data, Stanford Health Care's Chief Data Scientist Says
• Creation and Adoption of Large Language Models in Medicine