Clin2
NCT07291960Possibly a fitNot yet recruiting

Retinal image reporting with AI help

no Obvious AbnormalitiesDiabetic Retinopathy (DR)AMDCup-to-disc Ratio Bigger Than 0.5Pathological MyopiaMacular HoleEpiretinal MembraneRetinal Vein Occlusion (RVO)

Part of Eyes & vision, Heart & circulation, Hormones & metabolism clinical trials.

This study tests how well doctors write reports about retinal images when using AI assistance versus doing it on their own. It aims to see if AI helps make reports more accurate and consistent, which could improve care for patients with eye conditions.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
29 people
Ages
Any age
Study type
Observational

Who can take part

  • You are a board-certified ophthalmologist or ophthalmology trainee with experience reading eye images.
  • You can independently write eye-exam reports based on photos of the back of the eye.
  • You have not been part of creating or testing the AI system used in this study.
  • You are willing and able to complete the assigned report-writing tasks on time.
  • You are available to participate and can give your consent.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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