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Domain-Specific Large Language Model Assistance for Emergency Neurological Diagnosis and Treatment（DEMAND）
Sponsor: Capital Medical University
Summary
This study will evaluate whether Xuanwu-NeuroAid 2.0, a large language model for emergency neurology, can improve 30-day diagnostic quality in adults with acute neurological symptoms. Physicians will be randomly assigned to AI-assisted care or usual care. In the AI-assisted group, the model will provide diagnostic and management suggestions, while physicians will make all final clinical decisions. The usual-care group will receive standard emergency neurology care without large language model assistance.
Official title: Domain-Specific Large Language Model Assistance for Emergency Neurological Diagnosis and Treatment: A Randomized Controlled Clinical Trial
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1360
Start Date
2026-06-09
Completion Date
2026-08-30
Last Updated
2026-06-11
Healthy Volunteers
No
Conditions
Interventions
Xuanwu-NeuroAid 2.0
Xuanwu-NeuroAid 2.0 is a large language model used to support emergency neurology evaluation and management. It generates diagnostic and management suggestions based on available clinical information, including history, physical examination, laboratory results, and imaging data. Physicians may interact with the model multiple times, but remain responsible for all final clinical decisions. Its recommendations may be overridden when considered inappropriate.
Locations (3)
Nanyang Nanshi Hospital
Nanyang, Henan, China
Liuyang Jili Hospital
Guankou, Hunan, China
Xuanwu Hospital，Capital Medical University
Beijing, China