IMACT-CXR presents an integrated multi-agent system using AutoGen, Bayesian Knowledge Tracing, gaze feedback, and vision-language models to provide interactive tutoring for chest X-ray interpretation with preliminary evidence of improved learner performance.
Dataset and Environment IMACT-CXR operates on the REFLACX dataset, which provides chest X-ray DICOMs, expert bounding boxes, and eye-tracking fix- ations [7]
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IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation
IMACT-CXR presents an integrated multi-agent system using AutoGen, Bayesian Knowledge Tracing, gaze feedback, and vision-language models to provide interactive tutoring for chest X-ray interpretation with preliminary evidence of improved learner performance.