AI could spot hidden stroke type that often worsens quickly
NCT ID NCT07693816
First seen Jul 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time
Summary
This study is developing and testing an artificial intelligence (AI) model to help diagnose a specific type of stroke called branch atheromatous disease (BAD)-related stroke. BAD strokes are hard to identify because symptoms are not specific, and diagnosis requires combining clinical and imaging information. The AI will analyze routine medical data and brain scans from 1,602 adults who had a stroke within the past week. The goal is to see if the AI can accurately tell BAD strokes apart from other strokes, which could lead to earlier and more appropriate care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Multisource clinical-imaging artificial intelligence diagnostic assessment
- What this could lead to
- If successful, this AI tool could help doctors quickly and accurately diagnose a stroke subtype that is often missed, potentially leading to faster, more appropriate treatment.
- What could go wrong
- This is an observational study to develop and validate the model, not a treatment trial. The AI may not perform well enough in real-world settings, and it does not directly improve patient outcomes.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Beijing Fangshan District Liangxiang Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Haidian Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Huaxin Hospital (The First Hospital of Tsinghua University)
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Jingmei Group General Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Longfu Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Puren Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Shijingshan Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Shijitan Hospital, Capital Medical University
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Beijing Sixth Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-••••
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Beijing Yanqing District Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Peking Union Medical College Hospital
RECRUITINGBeijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Other studies related to the condition(s) this trial covers.
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