AI boosts eye Doctors' accuracy in reading retinal scans?

NCT ID NCT07651943

Completed Knowledge-focused Sponsor: Xiamen Ophthalmology Center Affiliated to Xiamen University Source: ClinicalTrials.gov ↗

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

Summary

This study tested whether artificial intelligence (AI) can help doctors detect retinal diseases from ultra-widefield eye images. 462 images were read by four eye doctors with different experience levels, both with and without AI assistance. The goal was to see if AI improves accuracy and agreement among doctors.

What this could mean

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

Active substance: AI-assisted interpretation software
What this could lead to: If successful, this could show that AI helps doctors spot retinal problems more accurately, potentially leading to better eye disease screening.
What could go wrong: This is a small, early-stage study with only 4 doctors and 462 images. The AI only provides probabilities, not diagnoses, and results may not apply to all clinics or populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for RETINAL DISEASE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

retinal disorder

As listed by the trial registrant

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

RETINAL DISEASE

Contacts and locations

Locations

Chongqing Huaxia Eye Hospital

Chongqing, Chongqing Municipality, China
Fuzhou Eye Hospital

Fuzhou, Fujian, 361000, China
Hengshui Tongrui Eye Hospital

Hengshui, Hebei, China
Heze Huaxia Eye Hospital

Heze, Shandong, China
Xiamen Eye Center of Xiamen University

Xiamen, Fujian, 361000, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.