Artificial Intelligence for Keratoconus Detection and Refractive Surgery Screening
摘要
Artificial intelligence (AIArtificial Intelligence (AI)) has been employed in KeratoconusKeratoconusscreeningScreening for decades. Since the introductionIntroduction of Neural Networks, the first machine learningMachine Learning techniques used for topographic classification, AIArtificial Intelligence (AI) efforts have focused on detectionDetection of nascent forms of corneal ectasias (Forme Frustre KeratoconusForme frustre keratoconus and Keratoconus SuspectsKeratoconus suspects). Parallel to this, the development of new imaging technology has contributed to the increasing keratoconusKeratoconus data sets, improving the accuracy of algorithms. Currently, AIArtificial Intelligence (AI) can assist ophthalmologists with automated interpretation of topographic maps, laser vision correction surgery (particularly in custom planning of the procedure), and prevention of iatrogenic ectasiasIatrogenic Ectasia. This area of medicineMedicine will continue to grow in complexity along with new technology promising to make its application routine in the future.