Colloquium Speakers
Diagnostic reasoning, Error, and Intelligence—Human and Artificial
November 20, 2025 @ 12:00 pm-1:00pm
Speaker: Laura Zwaan, PhD.
Associate Professor
Institute of Medical Education Research Rotterdam (iMERR), Erasmus MC
From Bytes to Bedside: Evolution of the Queensland Health AI Sepsis Prediction Algorithm (QSA)
November 13, 2025 @ 12:00 pm-1:00pm
Speakers: Anton Van Der Vegt, PhD.
Research Fellow,
Ian Scott, MBBS, FRACP, MHA, MEd.
Professor, Faculty of Medicine
The University of Queensland
Mathematical Analysis of Medical Decisions – Evaluation of Cervical Cancer Screening Protocols
November 6, 2025 @ 12:00 pm-1:00pm
Speaker: Michael Higgins, PhD.
Adjunct Professor
Stanford University, Department of Medicine
MedVAL: Toward Expert-Level Medical Text Validation with Language Models
October 30, 2025 @ 12:00 pm-1:00pm
Speaker: Asad Aali, MS.
Research Data Analyst, Rad/Intergrative Biomedical Imagaing Language
Stanford University, School of Medicine
Comet Deep Dive: Generative Modeling for Improving Patient Outcomes
October 23, 2025 @ 12:00 pm-1:00pm
Speaker: Shane Waxler
Software Developer & Lead, Comet Team
Epic Systems
Precision Education in the AI Era
October 16, 2025 @ 12:00 pm-1:00pm
Speaker: Jesse Burk-Rafel, MD, MRes.
Assistant Professor of Medicine & Vice Chair for Research and Assistant Director, Institute for Innovations in Medical Education & Director, Precision Medical Education Laboratory
New York University, Grossman School of Medicine
Applied Intelligence: Integrating AI Technologies Into Medical Education
October 9, 2025 @ 12:00 pm-1:00pm
Speaker: Laurah Turner, PhD.
Associate Dean for Artificial Intelligence and Educational Informatics & Associate Professor of Biostatistics, Health Informatics and Data Sciences and Medical Education
University of Cincinnati College of Medicine
Rigor and Reproducibility of Evidence Generated from Real-world Data Platforms
October 2, 2025 @ 12:00 pm-1:00pm
Speaker: Manisha Desai, PhD.
Kim and Ping Li Professor, Professor (Research) of Medicine (Quantitative Sciences Unit), of Biomedical Data Science and, by courtesy, of Epidemiology and Population Health
Stanford University School of Medicine