52 citations · 111 across the 10 of their papers we have counts for
10 papers
Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking
Huizi Yu, Jian Liu, Wenkong Wang +10
Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but…
AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows
Jiahui Niu, Huizi Yu, Wenkong Wang +11
Large language models (LLMs) are increasingly considered for use in clinical consultation tasks, yet most medical evaluations remain static, single-turn, or narrowly outcome-based,…
An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models
Xinxin Lin, Guangxin Dai, Yi Zhong +25
Privacy and computational constraints limit the use of large language models in psychiatry, while adapting small language models (SLMs) often requires substantial data and expert a…
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services
Xiang Li, Huizi Yu, Wenkong Wang +17
Objective: Emergency medical dispatch (EMD) is a high-stakes process challenged by caller distress, ambiguity, and cognitive load. Large Language Models (LLMs) and Multi-Agent Syst…
Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education
Huizi Yu, Jiayan Zhou, Lingyao Li +22
Background: Simulated patient systems are important in medical education and research, providing safe, integrative training environments and supporting clinical decision making. Ad…
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
Lingyao Li, Jiayan Zhou, Zhenxiang Gao +8
Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and a…
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
Huizi Yu, Lizhou Fan, Lingyao Li +9
Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research…
ChatGPT in education: A discourse analysis of worries and concerns on social media
Lingyao Li, Zihui Ma, Lizhou Fan +3
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and conce…
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma +3
Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become…
Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning
Boya Ouyang, Yuhai Li, Yu Song +5
Despite enormous efforts over the last decades to establish the relationship between concrete proportioning and strength, a robust knowledge-based model for accurate concrete stren…