AI boosts doctor diagnoses in small neurology trial

NCT ID NCT07344792

Completed Knowledge-focused Sponsor: Capital Medical University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether a large language model (AI) helps doctors diagnose neurologic cases more accurately. Forty licensed neurologists were split into two groups: one used the AI tool plus usual resources, the other used only usual resources. The main goal was to see if the AI-assisted group made more correct top diagnoses.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: large language model (LLM) assistance
What this could lead to: If successful, this could show that AI tools help doctors make more accurate diagnoses in neurology.
What could go wrong: This is a small, early-stage study with only 40 physicians, so results may not apply broadly. The LLM used is custom-built and may not reflect real-world AI tools.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

NEUROLOGY

Contacts and locations

Locations

Beijing Luhe Hospital affiliated to Capital Medical University

Beijing, Beijing Municipality, 100000, China
Nanyang Central Hospital

Nanyang, Henan, 473000, China
Xuanwu Hospital Capital Medical University

Beijing, Beijing Municipality, 100053, China

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