7 papers
Contactless gait-derived features as candidate digital biomarkers of depression severity in adolescents
Shuai Liu, Xiang Li, Guangxin Dai +8
Timely assessment of depression severity in adolescents is essential for guiding clinical care, yet conventional evaluations rely on episodic clinical assessments and symptom ratin…
Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults
Youxiang Sun, Yujie Nie, Zhuoru Wu +6
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation. Here, we investigated whether ta…
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,…
Graph Convolutional Long Short-Term Memory Attention Network for Post-Stroke Compensatory Movement Detection Based on Skeleton Data
Jiaxing Fan, Jiaojiao Liu, Wenkong Wang +3
Most stroke patients experience upper limb motor dysfunction. Compensatory movements are prevalent during rehabilitation training, which is detrimental to patients' long-term recov…
Adaptive Parameter Control Using AAN for Lower Limb Rehabilitation Exoskeletons
Zheng Sun, Wenkong Wang, Zizhong Wei +1
Exoskeletons play a crucial role in assisting patients with varying mobility levels during rehabilitation. However, existing control strategies face challenges such as imprecise tr…
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…