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VeriSim: A Configurable Framework for Stress-Testing Medical AI Under Patient Communication Noise
Medical large language models are typically evaluated on idealized patient cases that do not reflect how real patients communicate. We introduce VeriSim, a patient simulation framework that injects controllable noise along six clinically grounded communication dimensions while substantially preservi
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