Purpose: To present a corneal topography screening device for the detection of corneal ectasias and various refractive procedures based on corneal topography patterns.
Methods: A database of corneal topography patterns were analyzed and used to "train" a neural network on nine different corneal topography patterns using nineteen corneal topography indices of corneal shape and power.
Results: Sample normal and corneal topographies were recognized correctly.
Conclusions: The use of the corneal navigator to screen various corneal topographies aids clinical diagnosis.