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    Artificial Intelligence (AI) in Academic Medicine Webinar Series

    With AI offering so many opportunities across academic medicine, the AAMC is convening and connecting our community. This free webinar series will share strategies and exemplars in the field to help grow your knowledge and advance your practice.

    This learning series will explore critical concepts, the current landscape, and practical strategies drawn from various perspectives and institutions to support you in navigating the evolving world of AI in academic medicine. Sessions will feature resources and best practices that you can apply across various settings, as well as time for Q&A with the featured speakers.

    All are welcome to attend. Register for the complete series.

    Upcoming sessions

    “AI in Medical Education: Faculty as Learners and Educators”
    May 22, 3-4 p.m. ET
    Register now

    Utilization of AI in the classroom hinges on knowledgeable faculty and staff. This webinar focuses on the important role and practical implementation of faculty development around essential understandings of emergent AI’s tools and capabilities in this rapidly changing environment. Panelists will share practical examples of how they are educating faculty about institutional decisions related to the incorporation of AI, ensuring they are well-informed and equipped to utilize AI tools, and guide learners and patients effectively in this evolving educational and clinical environment.

    Facilitator: 
    Eric Weissman, Senior Director, Faculty and Academic Society Engagement, AAMC

    Speakers:
    Nathan Cross, MD, MS, CIIP, DABR, Associate Professor, Neuroradiology & Vice Chair of Informatics, University of Washington
    Diego Niño, MD, PhD, Associate Professor of Physiology, Department of Medical Education, University of Texas at Tyler School of Medicine 
    Akshay Sood, MD, MPH, Assistant Dean of Mentoring and Faculty Retention, University of New Mexico School of Medicine
    Jinjie Zheng, PhD, MS, MA, Assistant Dean, Digital Technology, Morehouse School of Medicine

    “A Disruptive Connector: Learning & Experimenting with Generative AI Together”
    June 11, 12-1 p.m. ET
    Register now

    In this webinar, participants will learn how collaborators from Mayo Clinic and Karolinska Institutet worked together to provide an opportunity for international medical educators to learn with and from one another about generative AI while using generative AI in a supportive, inclusive environment. They leveraged experiential learning to foster digital mindsets and adaptive expertise while wrestling with non-linear, complex challenges facing medical education. More than 450 colleagues from over 30 different geographical locations registered for the event, many of whom participated in one or more of the three synchronous virtual sessions. A dynamic resource rich website was created to encourage continuous engagement and co-construction of knowledge and skills beyond the 24-hours of the event.
    Hosted by the Group on Information Resources (GIR). 

    “Leveraging AI to Support Operational Functions”
    June 25, 3-4 p.m. ET

    Emerging technologies have the potential to support more than teaching and learning or clinical care, including creating efficiencies for everyday tasks, improving workflows, reducing cognitive load and weeding out redundant tasks or information. As AI is leveraged across schools, this webinar will explore how institutions are implementing AI behind the scenes to support administration, business decisions, and more.

    “Artificial Intelligence and Medical School Admissions and Selection”
    July 30, 3-4 p.m. ET

    The use of AI in medical school admissions and residency selection is a complex and dynamic topic of significant interest to the medical education community. Given the immense care and intentionality schools rightfully invest in this area, considerable thought and evaluation of any incorporated tools must be taken. In this session, we will explore how several institutions are thinking about the impact AI may have on programs and how, or if, they might seek to utilize it. Speakers from diverse institutions and in different roles related to these processes will share learnings, summarize internal discussions, and detail initiatives underway locally and nationally.

    “Leveraging AI for Research”
    August 27, 3-4 p.m. ET

    Past sessions

    “Utilizing AI for the Medical Education Classroom”
    April 30, 2024
    Panelists explored emerging applications of AI that impact the classroom, including the development and delivery of curriculum and the assessment of learning. They also examined the possibility of AI-driven assessment technologies, shedding light on practical uses and where they have potential in the comprehensive evaluation of both students and components of educational programs.
    Video recording | Presentation slides | Key takeaways

    “AI & Healthcare Delivery: Navigating the Clinical Reality and Expectations”
    March 26, 2024
    Panelists explored the utilization of AI in the clinical space and the importance of preparing the future generation of physicians, who will navigate a healthcare landscape where AI is even more integrated than today. 
    Video recording | Presentation slides | Key takeaways

    “Building Trust & Transparency in the Age of AI: Behind the Data Curtain”
    February 28, 2024
    Speakers discussed the importance of data management, governance, and ethics in AI decision-making. 
    Video recording | Presentation slides | Key takeaways

    "AI in Medical Education: Using the Missions of Medical Education as a Guide" 
    January 23, 2024
    Speakers discussed the insights and tools needed to position yourself knowledgeably in conversations regarding AI’s place in medical education. Encouraging participants to leverage their institution’s mission as a guide when considering AI uses, they provided a comprehensive summary of the existing landscape while exploring critical questions about AI across the continuum. 
    Video recording | Presentation slides | Q&A summary

    About the AAMC's AI Activities  

    The AAMC is supporting the academic medicine community as institutions determine their individual approaches to leveraging AI technology, in navigating the initiation, planning, and implementation of any AI tools, and in monitoring the policy and regulatory environment. Learn more about the AAMC's work, including opportunities to connect with your peers, share your experiences, and learn from experts.