AI could spot rare brain complication after carotid surgery

NCT ID NCT05800821

Recruiting now Knowledge-focused Sponsor: State Institution "Republican Scientific and Practical Center" Cardiology, Belarus Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing whether a deep learning model can predict cerebral hyperperfusion syndrome (CHS), a rare but serious brain complication that can occur after carotid artery surgery. Researchers will enroll 500 adults aged 30-80 who are having carotid revascularization. The goal is to identify patients at risk early, so doctors can intervene and prevent severe outcomes.

What this could mean

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

What this could lead to: If successful, this could lead to a tool that helps doctors predict and prevent a rare but serious brain complication after carotid artery surgery.
What could go wrong: This is an observational study, not a treatment trial. The deep learning model may not be accurate enough for real-world use, and results may not apply to all patients.

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.

carotid artery disorder carotid stenosis stroke disorder

As listed by the trial registrant

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

CAROTID ARTERY DISEASES CAROTID ARTERY STENOSIS CAROTID ATHEROSCLEROSIS CEREBRAL HYPERPERFUSION SYNDROME

Contacts and locations

Locations

State Institution "Republican Scientific and Practical Center "Cardiology"
RECRUITING

Minsk, Belarus

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