AIMC Topic: Corneal Diseases
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Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases.
American journal of ophthalmology
Jan 30, 2021
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...
Deep learning for identifying corneal diseases from ocular surface slit-lamp photographs.
Scientific reports
Oct 20, 2020
To demonstrate the identification of corneal diseases using a novel deep learning algorithm. A novel hierarchical deep learning network, which is composed of a family of multi-task multi-label learning classifiers representing different levels of eye...
Unsupervised learning for large-scale corneal topography clustering.
Scientific reports
Oct 12, 2020
Machine learning algorithms have recently shown their precision and potential in many different use cases and fields of medicine. Most of the algorithms used are supervised and need a large quantity of labeled data to achieve high accuracy. Also, mos...
AI for Corneal Imaging: How Will This Help Us Take Care of Our Patients?
Cornea
Mar 1, 2025
As artificial intelligence continues to evolve at a rapid pace, there is growing enthusiasm surrounding the potential for novel applications in corneal imaging. This article provides an overview of the potential for such applications, as well as the ...
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.
Artificial intelligence in cornea, refractive, and cataract surgery.
Current opinion in ophthalmology
Jul 1, 2020
PURPOSE OF REVIEW: The subject of artificial intelligence has recently been responsible for the advancement of many industries including aspects of medicine and many of its subspecialties. Within ophthalmology, artificial intelligence technology has ...
Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.
Cornea
Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Robotically assisted amniotic membrane transplant surgery.
JAMA ophthalmology
Feb 1, 2015
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