5 papers
RareLens: Towards End-to-End Rare Disease Care via Aligning Divergent Large Language Model Reasoning
Xi Chen, Hongru Zhou, Shiyu Feng +24
Rare diseases represent one of the most challenging settings for clinical decision-making, where heterogeneous presentations, sparse evidence and limited expertise create persisten…
A multitask framework for automated interpretation of multi-frame right upper quadrant ultrasound in clinical decision support
Haiman Guo, Cheng-Yi Li, Yuli Wang +26
Ultrasound is a cornerstone of emergency and hepatobiliary imaging, yet its interpretation remains highly operator-dependent and time-sensitive. Here, we present a multitask vision…
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
Meidan Ding, Jipeng Zhang, Wenxuan Wang +6
Multimodal large language models (MLLMs) hold significant potential in medical applications, including disease diagnosis and clinical decision-making. However, these tasks require…
Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Yuli Wang, Victoria R. Shi, Liwei Zhou +13
Critical retained foreign objects (RFOs), including surgical instruments like sponges and needles, pose serious patient safety risks and carry significant financial and legal impli…
Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins
Yiqing Shen, Chenjia Li, Bohan Liu +3
Analyzing operating room (OR) workflows to derive quantitative insights into OR efficiency is important for hospitals to maximize patient care and financial sustainability. Prior w…