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
“Artificial Intelligence and Medical School Admissions and Selection”
July 30, 3-4 p.m. ET
Register now
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.
Learning Objectives:
- Understand the evolving landscape of AI integration in medical school admissions and residency selection, including the motivations, challenges, and considerations guiding institutional decisions.
- Analyze the potential impacts of AI on processes within medical education institutions, exploring both the opportunities and risks associated with its implementation.
- Evaluate various perspectives and strategies employed by different institutions and stakeholders in navigating the adoption of AI tools, fostering critical thinking and informed decision-making regarding their utilization in admissions and selection.
Speakers:
- Leila Harrison, PhD, MA, Med, Vice Dean for Admissions, Student Affairs, and Alumni Engagement, Washington State University Elson S. Floyd College of Medicine
- Ioannis Koutroulis, MD, PhD, MBA, Associate Dean of MD admissions; co-Director, MD Program Clinical and Translational Research Scholarly Concentration; Associate Professor of Pediatrics, Emergency Medicine, Genomics and Precision Medicine; George Washington University School of Medicine and Health Sciences
- Richard N. Landers, PhD, John P. Campbell Distinguished Professor of Industrial and Organizational Psychology, University of Minnesota - Twin Cities
- Laurah Turner, PhD, MA, Associate Dean of Artificial Intelligence and Educational Informatics, University of Cincinnati College of Medicine
“Leveraging AI for Research”
August 27, 3-4 p.m. ET
“The Use of Artificial Intelligence (AI) Tools in the Scholarly Publishing Process: Considerations and Practical Suggestions for Scholars”
Sept. 10, 1-2 p.m. ET
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AI is changing scholarly publishing. In this webinar, speakers with experience as researchers and publishers will address the opportunities and challenges that AI affords to scholars and the scholarly publishing process. They’ll explore when and how scholars can use AI tools in writing up and publishing their research and scholarship, including considerations and practical suggestions for how to do so responsibly.
Speakers:
- Chhavi Chauhan, PhD, ELS, Director of Scientific Outreach, American Society for Investigative Pathology
- Tom Ciavarella, Head of Public Affairs and Advocacy, North America, Frontiers Media
Past sessions
“Leveraging AI to Support Operational Functions”
June 25, 2024
Panelists explored how institutions are implementing AI behind the scenes to support administration, business decisions, and more.
Video recording | Presentation slides
“A Disruptive Connector: Learning & Experimenting with Generative AI Together”
June 11, 2024
Panelists from Mayo Clinic and Karolinska Institutet shared how collaborative and experiential learning can foster digital mindsets and adaptive expertise while wrestling with non-linear, complex challenges facing medical education.
Video recording | Presentation slides
“AI in Medical Education: Faculty as Learners and Educators”
May 22, 2024
Panelists focused 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.
Video recording | Presentation slides
“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
“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