AI eye check could catch blood pressure damage early
NCT ID NCT07471971
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested an artificial intelligence tool called RetinAIcheck to see if it can accurately detect and grade hypertensive retinopathy—eye damage caused by high blood pressure. Researchers used 729 patients' eye photos and compared the AI's results to assessments by eye doctors. The goal was to see if the AI could be a reliable, fast way to screen for this condition.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
RetinAIcheck (an AI diagnostic tool)
What this could lead to
If successful, this AI could help doctors quickly and accurately detect eye damage from high blood pressure, potentially preventing vision loss.
What could go wrong
This is a completed study, but the AI was tested only on a Russian population and may not work as well in other groups. Also, AI tools can sometimes make mistakes that human doctors would catch.
Disclaimer
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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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Locations
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University Clinical Hospital №1, Sechenov University
Moscow, Russia