New paper: Forecasting progressive trends in keratoconus by means of a time delay neural network
Early and accurate detection of keratoconus progression is particularly important for the prudent, cost-effective use of corneal cross-linking and proper timing of clinical follow-up visits. This study assesses whether keratoconus progression could be predicted based on two prior tomography measurements by labelling keratoconic eye as either stable or suspect progressive. Although the current results were modest, they may be useful to customize the timing for the patient’s next follow-up, thus presenting another step towards the personalized management of keratoconus.
Jiménez-García M, Issarti I, Kreps EO, Ní Dhubhghaill S, Koppen C, Varssano D, Rozema JJ on behalf of The REDCAKE Study Group. Forecasting progressive trends in keratoconus by means of a time delay neural network. J Clin Med. 2021;10:3238.