Can AI and a new eye scanner make cataract surgery results more predictable?

NCT ID NCT07733154

Not yet recruiting Knowledge-focused Sponsor: The Hong Kong Polytechnic University Source: ClinicalTrials.gov ↗

First seen Jul 29, 2026 · Last updated Jul 30, 2026 · Updated 1 time

Summary

This study is testing a new, investigational eye scanner that uses light waves to measure the eye before cataract surgery. Researchers want to see if its measurements match those of a standard device, and whether an artificial intelligence model can better predict the correct lens power for each patient. The goal is to improve vision after surgery. About 2,500 adults with age-related cataracts will take part across multiple centers.

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 more accurate lens power calculations for cataract surgery, potentially improving vision outcomes for millions of patients.
What could go wrong: This is an observational study, not a treatment trial. The AI model is experimental and may not improve accuracy in real-world settings. Results are for research only.

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 senile cataract

As listed by the trial registrant

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

CATARACT

Contacts and locations

Locations

Hong Kong Eye Hospital

Kowloon City, Hong Kong
Royal Adelaide Hospital (tentative)

Adelaide, Australia
Wuhan Purui Ophthalmology Hospital

Wuhan, Hebei, 430032, China

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