1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Automated Clinical Problem Detection from SOAP Notes using a Collaborative Multi-Agent LLM Architecture
Yeawon Lee, Xiaoyang Wang, Christopher C. Yang
Accurate interpretation of clinical narratives is critical for patient care, but the complexity of these notes makes automation challenging. While Large Language Models (LLMs) show…
cs.LG2025
MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction
Xiaoyang Wang, Christopher C. Yang
Healthcare systems generate diverse multimodal data, including Electronic Health Records (EHR), clinical notes, and medical images. Effectively leveraging this data for clinical pr…
cs.CL2025★ 1 cited
Collaboration among Multiple Large Language Models for Medical Question Answering
Kexin Shang, Chia-Hsuan Chang, Christopher C. Yang
Empowered by vast internal knowledge reservoir, the new generation of large language models (LLMs) demonstrate untapped potential to tackle medical tasks. However, there is insuffi…