Vision • Latest Publications • AI Charter Pillars • Example Projects
Getting Involved • AI Project Intake Form • Acknowledgements
Vision
The UCSF School of Medicine will be a leader in AI‐driven medical education, where advanced data analytics and actionable insights are accessible to trainees and faculty, empowering a truly precision‐tailored learning experience. We will foster vibrant, cross-sector partnerships with clinical departments, peer institutions, and industry, while equipping our educators and staff with the expertise to integrate AI into every facet of teaching, learning, and scholarship. Through this commitment, Medical Education at UCSF will continually advance, validate, and disseminate cutting-edge AI innovations, shaping the future of medical education worldwide.
Latest News on AI in Medical Education
UCSF Faculty Author Article on Educational Strategies for Clinical Supervision of Artificial Intelligence Use in the New England Journal of Medicine
August 20, 2025
The New England Journal of Medicine recently published an article titled “Educational Strategies for Clinical Supervision of Artificial Intelligence Use.” Co-authored by Christy Boscardin, PhD, UCSF Professor of Medicine and the Director of Artificial Intelligence and Assessment for Medical Education, the article shares the new skills and mindsets that both trainees and educators will need to employ in the AI-enabled clinical learning environment. Acknowledging that many learners will have more experience with artificial intelligence, educators will need to embrace shared learning. Educators will need to teach and model critical thinking, a key skill in AI-assisted learning since it enables adaptive practice—shifting between efficiency and innovation.
View the Latest News on AI in Medical Education
AI Charter Pillars
Pillar 1: AI Competencies
Goals: Integrate AI into the curriculum, prepare learners for AI-enhanced clinical practice, and personalize learning using AI-driven adaptive learning plans.
Pillar 2: Assessment
Goals: Create an individualized precision education environment, ensuring students are prepared to meet the needs of patients and communities.
Pillar 3: Data and Informatics
Goals: Create and improve dashboards to streamline data management and support individualized learning.
Pillar 4: Operations
Goals: Automate tasks to allow faculty and staff to focus on innovation, train faculty and staff in AI, invest in IT infrastructure, ensure data security, and collaborate for AI solutions.
Pillar 5: Research
Goals: Build AI in medical research expertise and foster internal and external research partnerships for shared learning.
Pillar 6: Admissions
Goals: Enhance efficiency, objectivity, privacy, and fairness in admissions while integrating continuous improvement mechanisms.
Pillar 7: Ethics and Governance
Goals: Collaborate with UCSF IT Governance to develop and continuously monitor AI guidelines that promote ethical and equitable use, ensure data privacy and compliance, and maintain transparency.
Pillar 8 Evaluations and Continuous Quality Improvement
Goals: Establish ongoing evaluation for AI integration, track metrics, collect feedback, audit for biases, and communicate progress.
Example AI in Medical Education Projects
AI and Education Faculty Catalyst Program: This new initiative, supported by a generous gift from the Baum Faculty, is designed to grow a cohort of faculty developers who can support colleagues in integrating AI tools in educational practices. Learn more about the AI and Education Faculty Catalyst Program.
MedSimAI: UCSF, in partnership with Yale and Weill Cornell Medicine, is developing MedSimAI, an AI-powered simulation platform for communication and history-taking skills. Learn more about MedSimAI.
Versa Curate: The UCSF School of Medicine is piloting a UCSF Versa ChatGPT version called Versa Curate that has been updated with approved medical content and references for Bridges students and faculty. Learn more about Versa Curate (UCSF MyAccess log-in required).
Getting Involved
If you are a current UCSF medical student, faculty educator, or Medical Education staff member interested in participating in the future of AI in medical education at UCSF, please share your experience, expertise, voice, and input. You do not need to have prior experience with AI to participate. If you are interested in joining us in this work, please fill out this survey so we can connect you with a work group.
If you have any questions, please contact Christy Boscardin, PhD, Director of Artificial Intelligence and Assessment for Medical Education.
AI Project Intake Form
Are you a UCSF School of Medicine faculty member, staff member, or medical student interested in working with the Office of Medical Education on potential education-related projects in AI? Once you complete the form, our team will reach out to gather additional information and provide any next steps.
Office of Medical Education - AI Project Intake Form
Acknowledgments
UCSF Medical Education Artificial Intelligence initiatives are made possible, in part, through the generosity of the Baum Family, whose contributions have established:
- The Baum Experiential Learning Fund
- The Baum Medical Education Artificial Intelligence and Innovations Fund
- Baum Family Presidential Chair for Experiential Learning
