Abstract
With its promising advances in image recognition, deep learning (DL) as a form of artificial intelligence is positioned to become integral to the field of ophthalmology. Eyemeter is a DL tool previously developed to assess external features of adult eyes. This study tested the functionality and accuracy of Eyemeter in assessing direction and magnitude of strabismus in primary gaze based on external photographs.
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