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.

Interview With an Innovator: Series 1, releasing Wednesday, October 28, presents three innovators in the AI-medical space:

• STFM President Elect Steven Lin, MD, opens the series. Dr Lin discusses the state of AI in primary care, challenges faced by clinicians making the case for incorporating AI into their clinic, trustworthiness in AI, burnout, and much more.
  • Total runtime: 48 minutes.
• Robert M Wachter, MD, author of 300 articles and six books, addresses the productivity paradox that arises when the clinic adopts technology full of promises and hopes. Dr Wachter addresses how early AI fared in the clinic, as well as how it will affect the development of skills for future physicians and the necessity of maintaining vigilance as we work with these tools.
  • Total runtime: 32 minutes
• Medical student Katie Link discusses the challenges of training AI for a variety of healthcare scenarios. She shares her experience with AI training in medical school, the importance of augmenting skills rather than replacing them, and why it is so critical that clinician voices contribute to the development of AI tools and software.
  • Total runtime: 48 minutes

In December, STFM will release Foundations of Artificial Intelligence and Machine Learning, two online modules that cover the key terms, challenges, risks, and ethics of implementing AI in the clinic. Interview with an Innovator: Series 2 launches in January 2025, and spring 2025 will see the release of three more online modules: Clinical Implementation of Artificial Intelligence and Machine Learning.

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.

Visit the AiM-PC page to begin the curriculum.

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