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Artificial Intelligence in Medical Education: A Grants Program to Advance Innovation in Medical Education is sponsored by Josiah Macy Jr. Foundation. This special initiative funds demonstration projects that advance understanding of responsible, effective, and ethical use of AI in medical education. Projects leverage computer vision and AI methods for assessment of surgical skill and AI-enhanced feedback systems.
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The Macy Foundation - Artificial Intelligence in Medical Education Artificial Intelligence in Medical Education Watch the Innovating Med Ed with AI: Insights from the Macy Report Webinar (Hosted by AAMC) Watch the AI in Med Ed Conference Recommendations Webinar (Hosted by AAMC) View AAMC's AI in Academic Medicine Webinar Series 2024 Conference on AI in Medical Education AI in Medical Education: A Grants Program to Advance Innovation in Medical Education As a follow-up to the 2024 Macy conference on AI in Medical Education , the Josiah Macy Jr. Foundation announced a special initiative to fund demonstration projects that advance our understanding of what responsible, effective, and ethical use of AI in medical education will look like in the immediate future.
AI in Medical Education: A Grants Program to Advance Innovation in Medical Education provides support for three demonstration projects, each receiving up to $200,000 over two years. Please see the descriptions of the awarded projects below . materials that emanated from the conference, please visit the Macy Conferences section of the website.
AI in Medical Education: A Grants Program to Advance Innovation in Medical Education Artificial Intelligence Driven Assessment of Resident Surgical Skill Using Video Analysis of Incision Closures in Open Surgery Beth Israel Deaconess Medical Center The grant will leverage computer vision and AI methods to provide automated assessments of surgical skill in open procedures for surgical residents.
Automated video analytics will be captured during incision closures from traditional room video and egocentric recording from smart glasses. The model’s outputs will then be available on a resident-facing web platform designed to support feedback and longitudinal skill tracking. The overall goal is to refine AI-based assessment for open procedures to augment feedback from educators and encourage targeted practice for surgical trainees.
PI: Gabriel Brat, MD, Assistant Professor of Surgery, Beth Israel Deaconess Medical Center, Assistant Professor of Biomedical Informatics, Harvard Medical School Communication Compass: AI-Enhanced Feedback System NYU Grossman School of Medicine Effective patient-physician communication is crucial for high-quality healthcare, but challenging to teach and assess consistently.
Traditional methods often lack the ability to provide timely, objective feedback, leading to gaps in learners' communication skills. To address this, we are developing Communication Compass, an AI-powered system designed to offer personalized, near real-time feedback on learners' communication skills by analyzing ambient audio from patient-physician interactions.
This system will use advanced AI to assess communication across various dimensions and provide structured, rigorously-validated feedback with real examples. We will test this system’s impact on both educational outcomes and patient care through a randomized trial.
Ultimately, Communication Compass aims to create an ethical, scalable framework for improving communication skills in medical education, benefiting learners and patients alike.
PIs: Yuliya Yoncheva, PhD, Research Assistant Professor, Institute for Innovations in Medical Education; Jesse Burk-Rafel, MD, MRes, Director of Research, Institute for Innovations in Medical Education Teaching Future Doctors to Team with AI: A Social Science Approach to Developing and Evaluating Training Methods for Clinical-AI Collaboration Across the ARiSE Network Stanford Center for Biomedical Informatics Research Large language models (LLMs) like ChatGPT are one of the fastest adopted medical technologies in history, now routinely appearing in both clinics and medical classrooms alike.
The stakes are high – multiple studies now show that high-performing artificial intelligence technologies don’t always improve doctor performance. In order to fully recognize the health benefits of these powerful AI systems, medical educators will need to figure out how to better train doctors to work with AI.
The ARiSE Research Network, based at Beth Israel Deaconess Medical Center / Harvard Medical School and Stanford University, will use gold standard social science methodologies to understand how doctors are currently using AI in their clinical care.
They will then run national randomized trials to determine which educational strategies truly boost doctor-AI teamwork in important clinical tasks like diagnosing illnesses, explaining care plans to patients and coordinating treatment. The curricula and assessments from this project will be released openly so medical schools and hospitals around the world can train future doctors to use AI confidently while keeping patients safe.
PIs: Jonathan H. Chen, MD, PhD, Assistant Professor & Director for Medical Education in Artificial Intelligence, Stanford Center for Biomedical Informatics Research; Adam Rodman, MD, MPH, FACP, Hospitalist, Beth Israel Deaconess Medical Center; Assistant Professor, Harvard Medical School Learn more about Our Grantees
According to the current listing, eligibility includes: Organizations involved in medical education, such as medical schools and academic medical centers. Confirm the full requirements in the official notice before applying.
The current listing shows up to $200,000 over two years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Artificial Intelligence in Medical Education: A Grants Program to Advance Innovation in Medical Education is funded by Josiah Macy Jr. Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NCI Continuing Umbrella of Research Experiences (CURE) Academic Career Excellence (ACE) Award (K32) is a grant from the National Cancer Institute (NCI) that funds early postdoctoral fellows from diverse backgrounds, including underrepresented groups, to pursue research training in cancer-related fields. The K32 award supports fellows within 12 months prior to transitioning into, or within the first two years of, a postdoctoral position. The program, operated through NCI's Center to Reduce Cancer Health Disparities (CRCHD), aims to enhance the pool of qualified diverse cancer researchers. Beginning with the June 12, 2025 due date, the CURE ACE Award is available in both Independent Clinical Trial Required and Independent Clinical Trial Not Allowed versions. Eligible applicants must be U.S. citizens or permanent residents at time of award.
Innovation Grant is a grant from the Delta Dental of Arizona Foundation that funds nonprofit organizations pursuing unique, high-impact projects that improve health and wellness in Arizona communities. This two-year award supports original initiatives with measurable real-world impact, including programs serving underserved and uninsured populations through oral health education, disease prevention, and nutritional access. Projects must demonstrate the potential to make a meaningful difference in the community and stand apart from conventional approaches. Eligible applicants are Arizona-based nonprofit organizations. Awards total $100,000 per recipient over two years. The 2026 application cycle closed October 16, 2025, with recipients notified in late 2025 and funding made available shortly after.