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Fuchs' Endothelial Dystrophy

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A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens 31425350
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
Aged Area Under Curve Corneal Endothelial Cell Loss Deep Learning Descemet Membrane Descemet Stripping Endothelial Keratoplasty Female Fuchs' Endothelial Dystrophy Humans Male Models, Theoretical Reoperation Retrospective Studies ROC Curve Tomography, Optical Coherence Visual Acuity
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Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases.

American journal of ophthalmology 33529589
PURPOSE: To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images...
Area Under Curve Corneal Diseases Deep Learning Diagnosis, Computer-Assisted Dry Eye Syndromes Female Fuchs' Endothelial Dystrophy Humans Keratoconus Male Middle Aged Neural Networks, Computer Prospective Studies ROC Curve Tomography, Optical Coherence
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Deep Learning Model for the Detection of Corneal Edema Before Descemet Membrane Endothelial Keratoplasty on Optical Coherence Tomography Images.

Translational vision science & technology 36583911
PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) is the preferred method for treating corneal endothelial dysfunction, such as Fuchs endothelial corneal dystrophy (FECD). The surgical indication is based on the patients' symptoms and the pr...
Corneal Edema Deep Learning Descemet Membrane Descemet Stripping Endothelial Keratoplasty Edema Fuchs' Endothelial Dystrophy Humans Tomography, Optical Coherence
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Assessing Fuchs Corneal Endothelial Dystrophy Using Artificial Intelligence-Derived Morphometric Parameters From Specular Microscopy Images.

Cornea 38334475
PURPOSE: The aim of this study was to evaluate the efficacy of artificial intelligence-derived morphometric parameters in characterizing Fuchs corneal endothelial dystrophy (FECD) from specular microscopy images.
Aged Aged, 80 and over Artificial Intelligence Cell Count Cross-Sectional Studies Endothelium, Corneal Female Fuchs' Endothelial Dystrophy Humans Male Microscopy Middle Aged Neural Networks, Computer
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