Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and Biomechanical Data.
Ambrósio R Jr, Machado AP, Leão E, Lyra JMG, Salomão MQ, Esporcatte LGP, da Fonseca Filho JBR, Ferreira-Meneses E, Sena NB Jr, Haddad JS, Costa Neto A, de Almeida GC Jr, Roberts CJ, Elsheikh A, Vinciguerra R, Vinciguerra P, Bühren J, Kohnen T, Kezirian GM, Hafezi F, Hafezi NL, Torres-Netto EA, Lu N, Kang DSY, Kermani O, Koh S, Padmanabhan P, Taneri S, Trattler W, Gualdi L, Salgado-Borges J, Faria-Correia F, Flockerzi E, Seitz B, Jhanji V, Chan TCY, Baptista PM, Reinstein DZ, Archer TJ, Rocha KM, Waring GO 4th, Krueger RR, Dupps WJ, Khoramnia R, Hashemi H, Asgari S, Momeni-Moghaddam H, Zarei-Ghanavati S, Shetty R, Khamar P, Belin MW, Lopes BT.
Ambrósio R Jr, et al.
Am J Ophthalmol. 2023 Jul;251:126-142. doi: 10.1016/j.ajo.2022.12.016. Epub 2022 Dec 19.
Am J Ophthalmol. 2023.
PMID: 36549584
Free article.
The database included 1 eye randomly selected from 1680 normal patients (N) and from 1181 "bilateral" keratoconus (KC) patients, along with 551 normal topography eyes from patients with very asymmetric ectasia (VAE-NT), and their 474 unoperated ectatic (VAE-E) eyes. ...
The database included 1 eye randomly selected from 1680 normal patients (N) and from 1181 "bilateral" keratoconus (KC) patients, alon …