Curriculum

Artificial Intelligence and Machine Learning for Primary Care Curriculum

Part 1 of 4 Available Now — Free AI Curriculum

Artificial intelligence and machine learning (AI/ML) are transforming primary care, and learners want to participate in the revolution. This curriculum aims to equip learners with the skills needed to be engaged stakeholders, use AI/ML in their practice, and ensure responsible and ethical use of AI/ML. 

Developed for medical students, primary care residents, and practicing primary care clinicians, the Artificial Intelligence and Machine Learning for Primary Care Curriculum (AiM-PC) will be released in four parts, beginning autumn 2024:

  • Interview With an Innovator, Series 1 (available now)
  • Foundations of AI/ML in the Primary Care Clinic (two online modules coming December 2024)
  • Interview With an Innovator, Series 2 (coming January 2025)
  • Clinical Implementation of AI/ML (three online modules coming spring 2025)

The AiM-PC for students, residents, and primary care physicians is FREE.

Video interviews are 30–60 minutes each. Online modules will take approximately 60 minutes each.

Click on the tabs below to learn more.

Funding

Development of these modules was funded by the Gordon and Betty Moore Foundation and the American Board of Family Medicine (ABFM) Foundation.

AiM-PC Contributors

Curriculum Lead/Author

Winston Liaw, MD, MPH
University of Houston, Tilman J. Fertitta Family College of Medicine, Department of Health Systems and Population Health Sciences

Authors

Cornelius A. James, MD
University of Michigan Medical School Department of Internal Medicine, Department of Pediatrics, and Department of Learning Health Sciences

Ioannis Kakadiaris, PhD
University of Houston Department of Computer Science

Jacqueline K. Kueper, PhD
Scripps Research Translational Institute

Vasiliki Rahimzadeh, PhD
Baylor College of Medicine, Center for Medical Ethics and Health Policy

Staff Lead

Brian Hischier
Director of Online Education
Society of Teachers of Family Medicine 

Advisory Committee

Damian Archer, MD
Tufts University

David Chartash, PhD
Yale School of Medicine

Katie Link
Mount Sinai

Crystal Pristell, MD
Georgetown University/Robert Graham Center

Mike Rodriguez, MD
Inova

Laura Rosella, PhD, MHSc
University of Toronto