Clin2
NCT07643129Likely a fitNot yet recruiting

AI-Assisted Eye Image Reading Study for Ophthalmologists

Vision-Threatening Retinal LesionsUrgent Referral Retinal FindingsRetinal DetachmentPre-retinal HemorrhageSubretinal HemorrhageRetinal Neovascularization

Part of Eyes & vision clinical trials.

This study tests whether artificial intelligence can help eye doctors quickly identify urgent problems in ultra-wide retinal images (detailed pictures of the back of the eye). Researchers want to see if AI makes doctors faster and more accurate at spotting which patients need urgent referral.

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

Phase
N/A
Enrollment
8 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You are a licensed ophthalmologist (eye doctor with full medical licensure)
  • You are willing to participate as a reader—reviewing and interpreting eye images for the study
  • You complete all required study training before reading images
  • You have not previously seen the gold-standard labels (the 'correct answers' the researchers created)
  • You commit to completing the entire study without dropping out

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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