A deep learning model appears to be useful as it classifies images to provide information on corneas and preliminarily identify corneas at risk for refractive surgery, according to a study published in JAMA Ophthalmology.
“Evaluating corneal morphologic characteristics with corneal tomographic scans before refractive surgery is necessary to exclude patients with at-risk corneas and keratoconus (KC),” the authors explain. If an at-risk patient undergoes refractive surgery, iatrogenic ectasia due to biomechanical decompensation may occur, which can cause vision loss.
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