7 citations · 12 across the 6 of their papers we have counts for
6 papers
A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial
Haichao Chen, Songchi Zhou, Zhengyun Zhao +28
Rare diseases affect millions of individuals worldwide, yet timely diagnosis remains a major public health challenge due to scarcity of specialized clinical expertise. While large…
Baichuan-M1: Pushing the Medical Capability of Large Language Models
Bingning Wang, Haizhou Zhao, Huozhi Zhou +39
The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like…
CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment
Zhengyun Zhao, Hongyi Yuan, Jingjing Liu +5
Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its development has been severely impeded by the lack of publicly available benchmarks.…
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
Songchi Zhou, Ge Song, Haoqi Sun +3
Traditional sleep staging categorizes sleep and wakefulness into five coarse-grained classes, overlooking subtle variations within each stage. It provides limited information about…
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
Songchi Zhou, Sheng Yu
Objective: To develop a high-throughput biomedical relation extraction system that takes advantage of the large language models'(LLMs) reading comprehension ability and biomedical…
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Hongyi Yuan, Songchi Zhou, Sheng Yu
Electronic health records (EHR) contain a wealth of biomedical information, serving as valuable resources for the development of precision medicine systems. However, privacy concer…