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papersTODAY 04:00 UTC

arXiv Paper Proposes Concept-Grounded Reasoning for Medical Imaging Reports

A new arXiv preprint introduces an approach that combines multimodal large language models with prompt-driven localization to produce interpretable structured reports from medical images such as ultrasound and X-ray. The method grounds reasoning in clinical concepts, aiming to align generated findings with standardized diagnostic criteria. The work appears under the cs.AI and cs.LG categories and has not yet been peer reviewed.

medical-imaging/multimodal/interpretability/arxiv