Artificial intelligence versus conventional methods for RGP lens fitting in keratoconus.

Background: To compare the efficiency of three artificial intelligence (AI) frameworks (Standard Machine Learning (ML), Multi-Layer Perceptron (MLP) and Convolution Neural Networks (CNN)) with a reference method (Mean radius of curvature (K)) to predict the posterior radius of curvature of the best-fitted rigid contact lens (RCBFL) in keratoconus eyes.

Methods: This retrospective study included 197 keratoconus eyes of 135 patients fitted with Rose K2® (Menicon®, Nagoya, Japan) rigid contact lenses with one or more topographies available (MS39®, CSO®, Ferrara, Italy) between January 2020 and September 2022. Two types of topographic data (indices and reconstructed maps from raw data) were used for AI analysis.