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RESEARCH PROJECTS

MAESSCR/2-Sigma: AI Clinical Simulation

MAESSCR (Multi-Agent Educational Scenario Simulator for Clinical Reasoning) is an AI simulation platform that goes far beyond simple chatbots to create immersive, authentic clinical encounters.

  • More than conversation: Students engage through text, voice, and images. They examine visual findings, listen to heart sounds, review diagnostic imaging, and interact with patients who respond dynamically to their clinical decisions. The platform mirrors real clinical workflows, not scripted dialogue trees.
  • Personalized learning: The system adapts to each learner. As students complete more encounters, MAESSCR identifies patterns in their reasoning, surfaces individual knowledge gaps, and tailors feedback to target specific areas for growth.
  • Deliberate practice at scale: Students can practice clinical reasoning anytime, anywhere, with immediate expert-caliber feedback. No scheduling, no standardized patient costs, no limits on repetition.
  • Research-validated: Published in Academic Medicine with validity evidence across thousands of student encounters.

Ortelius: AI Curriculum Intelligence

Ortelius is an AI-powered curriculum mapping system that uses advanced AI techniques such as retrieval-augmented generation (RAG) to automatically analyze educational content and align it to competency standards.

  • What it does: Ortelius ingests diverse curricular materials—syllabi, lecture slides, videos, assessments, clinical documentation—and generates mapping tags aligned to any framework. It maps content across multiple dimensions simultaneously, revealing not just what is taught, but when, how deeply, and through which modalities.
  • Precision education: Beyond curriculum, Ortelius maps individual assessment items to competencies, enabling programs to track student mastery at the item level and identify specific areas for targeted intervention.
  • The result: Curriculum analysis that previously took weeks now takes hours—with accuracy matching or exceeding expert human reviewers.
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