M. Hashemi

IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations

IMCBench is introduced, an image-grounded, multi-turn medical conversation benchmark that pairs real, publicly available clinical images with synthetic patient profiles to simulate realistic patient-clinician interactions and demonstrates that accurate clinical description does not guarantee safe patient guidance, motivating the need for multi-dimensional evaluation frameworks in medical AI.