AI-Powered summaries aim to make eye care notes clearer for patients

NCT ID NCT06859216

Recruiting now Knowledge-focused Sponsor: University of California, Los Angeles Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether artificial intelligence can create simple summaries of eye doctor notes that are easier for patients to understand. About 460 English-speaking adults receiving eye care will get either standard notes or notes plus an AI-generated plain language summary. Participants will then answer surveys to see how well they understood their diagnosis and treatment plan, and whether the summaries help them feel more confident about their care.

What this could mean

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

Active substance: AI-generated plain language summaries
What this could lead to: If it works, this could show that AI summaries help patients better understand their eye care, leading to improved communication and confidence.
What could go wrong: This is an early-stage study focused on comprehension, not treatment. The AI summaries may not improve understanding for everyone, and results may not apply to all patients or settings.

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 ARTIFICAL INTELLIGENCE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

eye disorder

As listed by the trial registrant

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

ARTIFICAL INTELLIGENCE LARGE LANGUAGE MODEL OPHTHALMIC DISEASE

Contacts and locations

Locations

UCLA
RECRUITING

Los Angeles, California, 90095, United States

More trials for these conditions

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