AI outshines doctors in predicting cataract surgery success?

NCT ID NCT07713069

Not yet recruiting Knowledge-focused Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University Source: ClinicalTrials.gov ↗

First seen Jul 20, 2026 · Last updated Jul 21, 2026 · Updated 1 time

Summary

This trial tests whether an artificial intelligence model called OCT-PRO can predict how well a person will see after cataract surgery more accurately than standard doctor predictions. The AI analyzes eye scans and other clinical data to forecast visual recovery. About 534 adults scheduled for cataract surgery will be randomly assigned to receive either an AI-assisted prediction or routine counseling. The goal is to see if the AI reduces the gap between expected and actual vision outcomes.

What this could mean

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

Active substance: OCT-PRO prediction model (a device that uses AI to analyze OCT images and clinical data)
What this could lead to: If successful, this AI tool could help doctors and patients set more realistic expectations for vision after cataract surgery, reducing disappointment.
What could go wrong: The AI may not outperform experienced clinicians in all cases, and its accuracy depends on high-quality eye scans. The trial is relatively small and early-stage.

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

As listed by the trial registrant

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

CATARACT

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