Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.
Journal:
American journal of ophthalmology
PMID:
30098348
Abstract
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Authors
Keywords
Adult
Artificial Intelligence
Case-Control Studies
Cornea
Corneal Pachymetry
Corneal Topography
Diagnostic Techniques, Ophthalmological
Dilatation, Pathologic
Female
Humans
Keratoconus
Keratomileusis, Laser In Situ
Male
Middle Aged
Retrospective Studies
ROC Curve
Sensitivity and Specificity
Slit Lamp Microscopy
Tomography