Interpretable multimodal retrieval augmented diagnosis for breast ultrasound with multinational clinical validation and reader study
Breast ultrasound is central to breast cancer diagnosis but suffers from substantial inter-observer variability in Breast Imaging Reporting and Data System (BI-RADS) assessment, and existing deep learning models remain opaque. Multimodal large language models promise interpretable report-based reasoning, yet scarce pai...
Han Jang, Subin An, Sunghyun Jung et al.
· npj Digital Medicine · 0 citations