Cornelius James, MD
Assistant Professor of Internal Medicine, Pediatrics and Learning Health Sciences
University of Michigan
Dr. James is an Assistant Professor in the Departments of Internal Medicine, Pediatrics and Learning Health Sciences at the University of Michigan (U-M). He is a general internist and a general pediatrician practicing as primary care physician. Dr. James has served in many educational roles across the continuum of medical education, including serving as the director of the University of Michigan Medical School evidence-based medicine curriculum, and an Associate Program Director for the U-M Internal Medicine Residency Program. He serves on the local and national committees, including the U-M Clinical Intelligence Committee and the International Advisory Committee for Artificial Intelligence. Additionally, he is a Co-Editor for the MedEdPortal Artificial Intelligence Collection, and he is on the Academic Medicine editorial board. In 2022 he received the Kaiser Permanente Excellence in Teaching award, the most prestigious teaching award given by the U-M medical school. He currently holds the James O. Woolliscroft, MD Endowment Award in Humane Patient Care. Dr. James was one of ten inaugural 2021 National Academy of Medicine Scholars in Diagnostic Excellence. In addition, as a 2025 Macy Faculty Scholar he is studying the collaboration of interprofessional health care teams using artificial intelligence. His research interests include augmenting clinical reasoning with artificial intelligence, and implementation of safe and effective digital health technologies into clinical practice.

Presenting at the Nexus Summit:

Background: Artificial intelligence (AI) is rapidly transforming healthcare, reshaping the roles and responsibilities of all team members, including patients. Since OpenAI's release of Chat GPT in 2022, other tech companies like Google with Med-PaLM 2 and startups such as OpenEvidence have developed large language models (LLMs) for healthcare applications. These AI tools are increasingly utilized by healthcare teams and patients alike to tackle health-related questions in clinical settings and everyday life.Problem: Despite the growing recognition of AI's importance, existing AI competencies…