AI eye scanner could predict blindness risk in nearsighted patients
NCT ID NCT07424755
First seen Feb 21, 2026 · Last updated Jun 23, 2026 · Updated 20 times
Summary
This study is testing whether artificial intelligence can analyze eye images to better detect and predict vision-threatening changes in people with high myopia (severe nearsightedness). Researchers will collect eye scans from 1,000 patients and use AI to identify a condition called posterior scleral staphyloma, which can lead to blindness. The goal is to build a tool that helps doctors make earlier and more accurate diagnoses, especially in remote areas.
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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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Shanghai 10th People's Hospital
RECRUITINGShanghai, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Multimodal ocular imaging with AI analysis
What this could lead to
If successful, this could create an AI tool that helps doctors spot early signs of vision loss in high myopia, potentially preventing blindness.
What could go wrong
This is an early-stage study focused on building and testing the AI model, not a treatment. The AI may not be accurate enough for real-world use, and results may not apply to all patients.
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.