Clin2
NCT07291960Worth exploringNot yet recruiting

AI help for eye doctors writing retinal image reports

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 whether an AI system can help eye doctors write clearer and more accurate reports on retinal images (photos of the back of the eye). The focus is on how doctors and AI work together to describe eye findings.

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 an eye doctor (ophthalmologist) or an eye doctor in training (registrar or fellow) who reads retinal images for a living.
  • You can read and interpret retinal photographs (fundus images) on your own.
  • You are willing to write clinical reports for the study, under the assigned conditions.
  • You have not been involved in building or testing the AI system used in this study.
  • You can give your informed consent to take part.

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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