Using the First-Eye Back-Calculated Effective Lens Position to Improve Refractive Outcome of the Second Eye
Nicole Mechleb(Fondation de Rothschild), Damien Gatinel(Fondation de Rothschild), Avi Wallerstein(McGill University), Guillaume Debellemanière(Fondation Ophtalmologique Adolphe de Rothschild), Alain Saad(Fondation de Rothschild), Mathieu Gauvin(McGill University)
Cited by 7
Related Papers
The PEARL-DGS Formula: The Development of an Open-source Machine Learning–based Thick IOL Calculation Formula
|American Journal of Ophthalmology|2021|125
Impact of Surgical Learning Curve in Descemet Membrane Endothelial Keratoplasty on Visual Acuity Gain
|Cornea|2016|64
Corneal Topography Raw Data Classification Using a Convolutional Neural Network
|American Journal of Ophthalmology|2020|50
Quantification of cone loss after surgery for retinal detachment involving the macula using adaptive optics
|British Journal of Ophthalmology|2014|49
Determining the Theoretical Effective Lens Position of Thick Intraocular Lenses for Machine Learning–Based IOL Power Calculation and Simulation
|Translational Vision Science & Technology|2021|46