AI in medical education

AI (artificial and augmented intelligence) is playing an increasingly important role at all stages of the medical education continuum, both as a tool for educators and learners and as a subject of study in and of itself. AI has the potential to transform the educational experience as a part of precision education and transform patient care as a part of precision health. Learn more about how AI can impact medical education.

The AMA ChangeMedEd® Artificial Intelligence in Health Care Series is a seven-part online module series developed by the AMA ChangeMedEd® Initiative and the University of Michigan DATA-MD team. It introduces learners to critical AI and machine learning concepts in health care and is available at no cost on the AMA EdHub™. Topics addressed in the series include navigating ethical and legal considerations of AI in health care, practical applications of AI in the health system and the use of AI in diagnosis. 

Targeted toward medical students, the introductory content is also suitable for residents, fellows, practicing physicians and other health professionals. It is also beneficial to medical educators looking to enhance their knowledge in this critical area.

The Medical Educator’s Guide to Projects Leveraging Artificial Intelligence and Learning Analytics (PDF, free download) outlines the core issues to consider when designing technological solutions to educational challenges. Medical educators are enthused about the potential to leverage artificial intelligence, learning analytics, and other emerging technologies to improve medical training and promote precision education across the continuum of medical school, residency, and practice. 

However, many educators lack experience in developing and deploying such technologies. This guide provides an overview of key points for discussion with potential technical partners, facilitating essential details in planning and implementation that give projects the greatest chance at success.

Application of AI in medical education

Kim Lomis, MD, AMA vice president of Medical Education Innovations, and Margaret Lozovatsky, MD, AMA vice president of Digital Health Innovations discuss the future of AI in medicine.

This AMA Future of Health report and AMA STEPS Forward® Innovation Academy webinar explores the applications of AI in health care. Join experts discussing the practical uses of AI in medical practice, including addressing the risks and exploring its transformational potential. Gain a better understanding of how physicians are navigating this new technology and leading the way in how AI is designed and implemented in health care today.

Advancing AI in medical education through ethics, evidence and equity is a companion to the AMA policy for augmented intelligence (PDF) and leverages the same framework when considering the educational applications of AI. This document addresses the use of AI to facilitate the process of training health professionals but does not consider issues around the important goal of providing training in AI for health care professionals to facilitate their duties in providing care.

• Artificial Intelligence for Health Professions Educators, NAM Perspectives
• Teaching artificial intelligence as a fundamental toolset of medicine, Cell Reports Medicine
• “Dr. ChatGPT will see you now,” How Augmented Intelligence is Transforming Medicine and Medical Education, Montgomery County, MD, Medical Society
• Principles for the Responsible Use of Artificial Intelligence in and for Medical Education, Association of American Medical Colleges
• A scoping review of artificial intelligence in medical education: BEME Guide No. 84, Medical Teacher
• Competencies for the Use of Artificial Intelligence–Based Tools by Health Care Professionals, Academic Medicine

1. The future of AI and precision health: What stands in the way

2. Do these 5 things to ensure AI is used ethically, safely in care

3. Choosing the right AI model for prognostication, treatment

4. Using AI in diagnosis means scrutinizing each tool. Here’s how.

5. AI models are reshaping medicine. Here’s how they learn.

6. Big majority of doctors see upsides to using health care AI