Data derived from live adjudication of fundus image grading improved the accuracy of an automated learning system for screening for diabetic retinopathy, according to a study.
In this retrospective analysis, retinal fundus images from diabetic retinopathy screening programs were graded by an algorithm and by U.S. board-certified ophthalmologists and retina specialists. The consensus of the retina specialists was used as the reference standard.
“The present work suggests that an adjudication process yielding a consensus grade from multiple retina specialists provides a more rigorous
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