AI coach helps doctors save stroke Patients' brains

NCT ID NCT05874596

Completed Knowledge-focused Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether an artificial intelligence system that gives doctors feedback could improve the quality of emergency stroke treatment. Over 1,200 stroke patients were involved. The AI system aimed to help doctors make better decisions during a procedure to remove blood clots. The main goal was to see if more patients recovered well three months after treatment.

What this could mean

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

Active substance: AI-aided clinical feedback system and behavioral intervention
What this could lead to: If successful, this could show that AI feedback helps doctors provide better stroke care, leading to improved recovery for patients.
What could go wrong: This is a completed trial, but results are not yet widely known. The intervention is complex and may not be easy to implement in other hospitals.

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

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Conditions

The condition(s) this trial relates to.

ischemic stroke stroke disorder

As listed by the trial registrant

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

STROKE, ACUTE

Contacts and locations

Locations

Second Affiliated Hospital, School of Medicine, Zhejiang University

Hangzhou, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.