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Domain-Specific Large Language Model Assistance for Emergency Neurological Diagnosis and Treatment（DEMAND）

NCT07626229 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1381

Last updated 2026-08-07

No results posted yet for this study

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.

Conditions

  • Nervous System Diseases

Interventions

DEVICE

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.

Sponsors & Collaborators

  • Capital Medical University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-09
Primary Completion
2026-08-06
Completion
2026-08-06

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07626229 on ClinicalTrials.gov