STFM Developing AI/ML in Primary Care Curriculum
STFM is developing the Artificial Intelligence and Machine Learning for Primary Care Curriculum to help family medicine educators adjust to this new technology.
October 30, 2024—Every week brings us news of changes and improvements in the field Artificial Intelligence. As the technology becomes ubiquitous, family medicine physicians and educators will need to make the case for incorporating AI and machine learning (AI/ML) software into clinics and the classroom.The Society of Teachers of Family Medicine (STFM) is developing the Artificial Intelligence and Machine Learning for Primary Care (AiM-PC) Curriculum. Written and developed by experts in the field, AiM-PC will equip you with the skills needed to be engaged stakeholders, use AI/ML in your practice, and ensure responsible and ethical use of AI/ML.The Artificial Intelligence and Machine Learning for Primary Care Curriculum for medical students, primary care residents, and practicing primary care clinicians is being developed by STFM, with financial support from the Gordon and Betty Moore Foundation and the American Board of Family Medicine Foundation. The team consists of educators with expertise in primary care, computer science, instructional design, and ethics. By harnessing these diverse perspectives, AiM-PC will equip learners with the skills needed to be engaged stakeholders, use AI/ML in their practice, and encourage responsible and ethical use of Artificial Intelligence and Machine Learning.
AI/ML Curriculum Authors
Curriculum Lead/Author
- Winston Liaw, MD, MP, University of Houston Department of Health Systems and Population Health Sciences
Authors
- Cornelius A. James, MD, University of Michigan 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