STFM PODCAST - Academic Medicine Leadership Lessons
What separates a good leader from a great one? These in-depth interviews with some of family medicine's most influential leaders provide insight into pivotal experiences that boosted leadership skills and provided unprecedented opportunities for personal growth. This series of podcasts explores the development of leadership skills, including clarity, courage, decisiveness, humility, and passion, as a means to facilitating growth during times when healthcare professionals are addressing:• Motivation and Mentorship• Burnout and Transitions• Milestones and Meaning• Barriers and BureaucracyThis series of podcasts is sponsored by the Society of Teachers of Family Medicine (STFM), the academic home for family medicine educators.
STFM PODCAST - Academic Medicine Leadership Lessons
Artificial Intelligence and Machine Learning for Primary Care - A Panel Discussion
Step into the future of primary care with Artificial Intelligence and Machine Learning (AI/ML). In this episode, you’ll discover how these transformative technologies are revolutionizing healthcare as three expert voices from STFM’s cutting-edge Artificial Intelligence and Machine Learning for Primary Care Curriculum reveal insider strategies to slash administrative burden—and maybe even carve out time for your dream vacation. Whether you’re an educator eager to innovate, or a clinician ready to lead your team in implementing new tools, this dynamic panel delivers practical tips, ethical insights, and the inspiration you need to confidently participate in the AI revolution.
Our Panelists:
- Cornelius James, MD
- Jaky Kueper, PhD
- Winston Liaw, MD, MPH
Hosted by Omari A. Hodge, MD, FAAFP and Jay-Sheree Allen Akambase, MD
Copyright © Society of Teachers of Family Medicine, 2025
Resources:
- Artificial Intelligence and Machine Learning for Primary Care Curriculum (AiM-PC)
- Upcoming Opportunity - Ethical Use of AI in the Family Medicine Clinic - STFM Webinar scheduled for May 30, 2025 at 12pm CT
- Artificial Intelligence and Family Medicine: Better Together - Fam Med
- Generative Artificial Intelligence and Large Language Models in Primary Care Medical Education - Fam Med
- Artificial Intelligence-Prompted Explanations of Common Primary Care Diagnoses - PRiMER
Guest Bio:
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 heal