Purpose: To investigate the potential effects of systemic fingolimod treatment on parameters of the anterior segment of the eye and tear film function tests in patients with multiple sclerosis (MS).
Methods: Forty-eight eyes of 24 individuals who were started on systemic fingolimod treatment for relapsing-remitting MS were prospectively enrolled in this study. Patients underwent examinations immediately before initiation of systemic fingolimod treatment, and at the first and sixth months of treatment.
Objectives: In this study, we developed a machine learning approach for postoperative corneal endothelial cell images of patients who underwent Descemet's membrane keratoplasty (DMEK).
Methods: An AlexNet model is proposed and validated throughout the study for endothelial cell segmentation and cell location determination. The 506 images of postoperative corneal endothelial cells were analyzed.
Background: Descemet membrane endothelial keratoplasty (DMEK) is increasingly favored in the treatment of endothelial dysfunction due to its benefits, which include swift visual rehabilitation and recovery, a relatively low rejection rate, and superior refractive stability. In this study, we examined alterations in corneal clarity among patients who underwent DMEK and correlated these densitometry findings with other optical parameters of corneal topography.
Methods: The study incorporated 35 eyes from 35 patients who had previously undergone DMEK surgery for pseudophakic bullous keratopathy at Ankara Bilkent City Hospital.