AI in Medical Education Selection: AAMC’s Toolkit for Responsible Implementation - April 1

Includes a Live Web Event on 04/01/2025 at 12:00 PM (EDT)

The landscape of medical education selection is evolving, with many medical schools and residency programs exploring artificial intelligence (AI) to enhance their admissions and selection processes. To support this transformation, the AAMC, in collaboration with its Technical Advisory Committee, has developed a toolkit of resources aligned with our Principles for Responsible Use of AI in Medical School and Residency Selection.

Objectives:

  • Learn How to Apply the AAMC’s Principles for Responsible AI Use – Gain insights into the AAMC’s framework for evaluating AI tools in admissions and selection processes, ensuring fairness, transparency, and accountability.
  • Discover Practical Resources to Support AI Implementation – Navigate the AAMC’s new toolkit, designed to help institutions responsibly integrate AI into their selection practices while maintaining integrity and equity.

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

Ioannis Koutroulis, MD, PhD, MBA, is the associate dean of MD admissions at George Washington University School of Medicine and Health Sciences providing overall leadership in medical student admissions and strategic direction and priorities for the admissions program. Additionally, he is the co-Director of the Clinical and Translational Research Scholarly Concentration for the MD program, an Associate Professor of pediatrics, emergency medicine, genomics and precision medicine and a practicing pediatric emergency medicine physician and an NIH-funded principal investigator. He is a widely published scientist, publishing work on sepsis, obesity, and encephalopathy in many high-impact, peer reviewed journals. His research focuses on the use of AI/ML and Natural Language Processing for early identification and treatment of pediatric sepsis. He aims to use the same technology in MD admissions for a fair and efficient selection process. He is the recipient of several research and teaching awards and a member of numerous national committees on research and medical education.

Derek Mracek, PhD

Manager, Analytics and Evaluation

AAMC

Dr. Derek L. Mracek has spent a decade developing innovative assessments for leading global organizations. His contributions have been recognized with an IPAC Innovations in Assessment Award, multiple SHRM Business Impact Awards, and a 2024 Journal of Business Psychology Editor Commendation. He has led product science, data science, and professional services at multiple HR tech startups where he developed and maintained cloud-based services involving AI/ML. At AAMC, he leads efforts focused on the responsible implementation of AI to enhance medical school admissions and residency selection processes. Derek was awarded the Mayo Clinic Scholarship and earned a bachelor's degree in psychology from the University of Minnesota Duluth, a master's degree from East Carolina University, and a doctoral degree in I/O psychology from the University of Oklahoma. Derek has published articles in the Journal of Business and Psychology, Computers in Human Behavior, and Human Factors.

Laurah Turner, PhD

Associate Dean for Artificial Intelligence and Educational Informatics, Assistant Professor of Medical Education, Assistant Professor of Biostatistics, Health Informatics and Data Sciences

University of Cincinnati College of Medicine

Dr. Laurah Turner serves as the Associate Dean for Artificial Intelligence and Educational Informatics and Assistant Professor in the Departments of Medical Education and Biostatistics, Health Informatics and Data Sciences at the University of Cincinnati College of Medicine. She is also the founder and director of 2-Sigma Labs.

Her research focuses on applying artificial intelligence and statistical techniques to enhance medical education, refine assessment methods, and address training disparities. Dr. Turner leads several innovative projects integrating AI into medical education, including systems AI Coaching, personalized learning platforms, and automated curriculum mapping tools.

She serves on the American Association of Medical Colleges Technical Advisory Committee on Artificial Intelligence in Admissions and Selection. Her work is supported by grants from the AMA, APCCMPD, CHEST, and ATS Medical Education Research Award.

Dr. Turner holds a PhD in Biological Anthropology from Indiana University, with extensive experience in statistics and human behavior. Her current research focuses on developing AI systems that enhance human capabilities in medical education while preserving essential human elements of physician training.

 She has published extensively in leading medical education journals and holds multiple patents pending for AI tools in medical education. Her work aims to democratize access to high-quality medical education through innovative AI applications while ensuring ethical implementation and educational integrity.

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