· Dissemination · 2 min read
Three Posters and a Talk: A Successful UT REAL Health AI Symposium
Project MAPLES and the Jamieson Lab shared work on AI assessment, continuous governance, rubric design, and privacy-preserving infrastructure at the October 7–8 symposium in Austin.
Project MAPLES and the Jamieson Lab celebrated a successful showing at the 2026 UT REAL Health AI Symposium, held October 7–8 at the AT&T Conference Center in Austin, with three posters and one oral presentation.
The presentations brought together complementary work on AI-assisted assessment, governance, clinical rubric design, and technical infrastructure:
- Ameer Hamza Shakur presented “Evaluating Agreement Between AI and Human Graders in Medical School Simulation,” developed with Judah Gruen and collaborators across the project.
- Huong-Tra Ngo presented “Continuous Governance of AI-Assisted Assessment in Medical Education: A Practice-Informed Framework,” addressing how oversight can evolve alongside assessment practice.
- Lindsey Stockton of UT Tyler presented “Ask a Better Question: How an AI Grader Sharpened Hypothesis-Driven History-Taking in a Medical Student Objective Structured Clinical Examination,” sharing a partner-site perspective on rubric refinement and clinical assessment.
- Michael Holcomb delivered “A Privacy-Preserving Hybrid AI Architecture for Automated Assessment” and served as a session moderator.
Together, the three posters and talk showcased the range of expertise supporting Project MAPLES: educators and researchers working through the scientific, practical, and governance questions involved in bringing AI-assisted assessment into medical education.
Thank you to our presenters, collaborators, and the symposium organizers for making the meeting a success. We look forward to building on this work with our UT-REAL partners.
Explore the Work
These public resources provide more context for the assessment tools and research discussed at the symposium:
- Read the prospective UTSW study published in npj Digital Medicine, with a plain-language overview and links to the paper.
- Watch the MAPLES workflow, from rubric upload to evidence review and faculty-reviewed results.
- Explore AI-assisted rubric authoring and encounter upload and grading in the Wayfinder demonstrations.
Meet the consortium team or discuss a focused pilot or research collaboration.
