STFM Podcast March 2025 Episode

• Artificial Intelligence and Machine Learning for Primary Care Curriculum (AiM-PC)
• Artificial Intelligence and Family Medicine: Better Together - Family Medicine
• Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education - Family Medicine
• Artificial Intelligence-Prompted Explanations of Common Primary Care Diagnoses - PRiMER

Cornelius James, MD

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 a primary care physician. He holds the James O. Woolliscroft, MD, Endowment in Humane Patient Care.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 also serves on local and national committees, including the U-M Clinical Intelligence Committee and the International Advisory Committee for Artificial Intelligence. In multiple years Dr James has been identified as one of the top teachers in the Department of Internal Medicine. In addition, in 2022 he received the Kaiser Permanente Excellence in Teaching award, the most prestigious teaching award given by the U-M medical school. Dr James has completed the American Medical Association (AMA) Health Systems Science Scholars program, and he was also one of ten inaugural 2021 National Academy of Medicine Scholars in Diagnostic Excellence. His research interests include augmenting clinical reasoning with artificial intelligence, and equitable implementation of safe and effective digital health tools into clinical practice.His work has been published in JAMA, Annals of Internal Medicine, Academic Medicine, the Journal of General Internal Medicine, Cell Reports, and more.

Jaky Kueper, PhD

Jaky Kueper, PhD, is an epidemiologist and computer scientist with the Scripps Research Digital Trials Center. Her work in AI for primary care ranges from investigating primary care AI needs and priorities to co-developing AI solutions with Community Health Centres. She's also been engaged in several AI for health capacity building initiatives, including development of the Introduction to AI for Family Medicine e-course at the College of Family Physicians of Canada and the AiM-PC Curriculum with the Society of Teachers of Family Medicine.

Winston Liaw, MD, MPH

Winston Liaw is a family physician, health services researcher, and the Chair of Health Systems and Population Health Sciences at the University of Houston Tilman J. Fertitta Family College of Medicine. His research focuses on the use of artificial intelligence in primary care and assessing and addressing unmet social needs within primary care settings. Prior to joining the University of Houston, he was a researcher at the University of Texas Health Science Center at Houston and was the Medical Director at the Robert Graham Center, a primary care policy research institute affiliated with the American Academy of Family Physicians. He also served as residency faculty at the Virginia Commonwealth University, Fairfax Family Medicine Residency Program. Dr Liaw received a BA degree from Rice University, an MD from Baylor College of Medicine, an MPH from the Harvard School of Public Health, family medicine residency training from Virginia Commonwealth University, and health policy fellowship training from the Robert Graham Center.