AIMC Topic: Descemet Stripping Endothelial Keratoplasty

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Predicting Success in Descemet Membrane Endothelial Keratoplasty Using Machine Learning.

Cornea Jun 20, 2024
PURPOSE: This study aimed to predict early graft failure (GF) in patients who underwent Descemet membrane endothelial keratoplasty based on donor characteristics.
Humans Machine Learning Adult Male Middle Aged Retrospective Studies Female Aged Corneal Diseases Endothelium, Corneal Descemet Stripping Endothelial Keratoplasty Visual Acuity Graft Rejection Cell Count ROC Curve Tissue Donors Graft Survival
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Machine learning based endothelial cell image analysis of patients undergoing descemet membrane endothelial keratoplasty surgery.

Biomedizinische Technik. Biomedical engineering Mar 18, 2024
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).
Descemet Stripping Endothelial Keratoplasty Endothelial Cells Endothelium, Corneal Descemet Membrane Humans Machine Learning Image Processing, Computer-Assisted Microscopy, Confocal
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Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence.

The ocular surface Feb 28, 2020
OBJECTIVE: To apply artificial intelligence (AI) for automated identification of corneal condition and prediction of the likelihood of need for future keratoplasty intervention from optical coherence tomography (OCT)-based corneal parameters.
Artificial Intelligence Retrospective Studies Female Japan Humans Aged Descemet Stripping Endothelial Keratoplasty Male Keratoplasty, Penetrating Cohort Studies
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Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty.

Investigative ophthalmology & visual science Jan 2, 2025
PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) has emerged as a novel approach in corneal transplantation over the past two decades. This study aims to identify predisposing risk factors for post-DMEK ocular hypertension (OHT) and develop...
Humans Aged Artificial Intelligence Aged, 80 and over ROC Curve Machine Learning Intraocular Pressure Male Visual Acuity Middle Aged Retrospective Studies Ocular Hypertension Postoperative Complications Female Descemet Stripping Endothelial Keratoplasty Risk Factors
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Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK.

Translational vision science & technology May 1, 2023
PURPOSE: To evaluate a novel deep learning algorithm to distinguish between eyes that may or may not have a graft detachment based on pre-Descemet membrane endothelial keratoplasty (DMEK) anterior segment optical coherence tomography (AS-OCT) images.
Endothelium, Corneal Descemet Stripping Endothelial Keratoplasty Visual Acuity Tomography, Optical Coherence Corneal Diseases Artificial Intelligence Retrospective Studies Deep Learning Humans
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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 Dec 1, 2022
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...
Tomography, Optical Coherence Edema Descemet Membrane Humans Corneal Edema Deep Learning Descemet Stripping Endothelial Keratoplasty Fuchs' Endothelial Dystrophy
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A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Eye & contact lens Mar 1, 2020
PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).
ROC Curve Models, Theoretical Visual Acuity Area Under Curve Tomography, Optical Coherence Aged Reoperation Fuchs' Endothelial Dystrophy Male Humans Descemet Membrane Retrospective Studies Descemet Stripping Endothelial Keratoplasty Female Deep Learning Corneal Endothelial Cell Loss
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Using Deep Learning in Automated Detection of Graft Detachment in Descemet Membrane Endothelial Keratoplasty: A Pilot Study.

Cornea Feb 1, 2019
PURPOSE: To evaluate a deep learning-based method to automatically detect graft detachment (GD) after Descemet membrane endothelial keratoplasty (DMEK) in anterior segment optical coherence tomography (AS-OCT).
Middle Aged Descemet Membrane Deep Learning Descemet Stripping Endothelial Keratoplasty Pilot Projects Aged Humans Graft Rejection Sensitivity and Specificity Neural Networks, Computer Tomography, Optical Coherence Male Endothelium, Corneal Female
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