New AI reads eye scans to diagnose dry eye instantly
NCT ID NCT07614347
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to create an artificial intelligence system that can automatically analyze confocal microscopy images of the cornea to diagnose dry eye disease. Researchers will collect eye scans from 75 adults (healthy and with dry eye) to train and test the AI. The goal is to replace slow, manual image analysis with a fast, objective, and quantitative diagnostic tool.
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 provide a fast, objective, and automated way to diagnose dry eye disease, replacing subjective manual methods.
- What could go wrong
- This is an early-stage, small study (75 participants) focused on developing and testing the AI system, not a treatment trial. The AI may not perform well in real-world settings or on diverse 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 DRY EYE are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can insulin eye drops quench dry eyes?
- Can a new eye drop soothe severe dry eye?
- New imaging tools put to the test for measuring dry eye treatment effects
- Could a special screen light reduce tired eyes and dryness?
- Nasal spray could make contact lenses more comfortable
- Dry eye drops may sharpen cataract surgery outcomes