AI assistant could sharpen eye injection choices

NCT ID NCT07328776

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This trial tests an artificial intelligence system called QiLin that helps doctors decide when to give anti-VEGF injections for retinal diseases like wet AMD, DME, and RVO. About 200 patients who have completed initial treatment will be randomly assigned to have their doctor use the AI or not. The main goal is to see if AI-assisted decisions match expert recommendations more often than doctor-only decisions.

What this could mean

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

Active substance

QiLin artificial intelligence system

What this could lead to

If successful, this AI tool could help doctors make more accurate decisions about anti-VEGF injections, potentially improving outcomes for patients with retinal diseases.

What could go wrong

This is an early-stage trial with 200 participants. The AI may not perform as well in real-world settings as in lab tests, and its benefit over standard care is unproven.

Disclaimer Read more

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.

cystoid macular edema diabetic macular edema macular degeneration retinal vein occlusion wet macular degeneration

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Shanghai general hospital

    Shanghai, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • Shanghai general hospital, Shanghai Jiao Tong University, Shanghai, 200080

    Shanghai, China

    Contact Phone: •••-•••-•••• Email: •••••@•••••