AI eye scanner could predict blindness risk in nearsighted patients

NCT ID NCT07424755

Recruiting now Diagnosis Sponsor: Shanghai 10th People's Hospital Source: ClinicalTrials.gov ↗

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

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.

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.

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.

cataract degenerative myopia staphyloma posticum

As listed by the trial registrant

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

HIGH MYOPIA

Contacts and locations

Locations

Shanghai 10th People's Hospital
RECRUITING

Shanghai, China

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