66 citations · 66 across the 6 of their papers we have counts for
6 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…
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang +10
Multi-modal large language models (MLLMs) have been given free rein to explore exciting medical applications with a primary focus on radiology report generation. Nevertheless, the…
A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
Jie Liu, Wenxuan Wang, Yihang Su +8
The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support. Ho…