AIMC Topic: Cornea

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Automatic Classification of Slit-Lamp Photographs by Imaging Illumination.

Cornea May 31, 2023
PURPOSE: The aim of this study was to facilitate deep learning systems in image annotations for diagnosing keratitis type by developing an automated algorithm to classify slit-lamp photographs (SLPs) based on illumination technique.
Humans Light Lighting Slit Lamp Neural Networks, Computer Cornea
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Myopia prediction for children and adolescents via time-aware deep learning.

Scientific reports Apr 3, 2023
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length historical vision records. From October 2019 to March 2022, we examined uncorrected visual acuity, sphere...
Hyperopia Myopia Treatment Outcome Astigmatism Cornea Deep Learning Humans Refraction, Ocular Adolescent Retrospective Studies Child
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Mobile-CellNet: Automatic Segmentation of Corneal Endothelium Using an Efficient Hybrid Deep Learning Model.

Cornea Dec 12, 2022
PURPOSE: The corneal endothelium, the innermost layer of the human cornea, exhibits a morphology of predominantly hexagonal cells. These endothelial cells are believed to have limited regeneration capacity, and their density decreases over time. Endo...
Humans Cell Count Endothelial Cells Endothelium, Corneal Cornea Deep Learning
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Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.

Computers in biology and medicine Nov 30, 2022
Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique. AS-OCT images can be examined by experts and segmented to provide quantitative metrics that inform clinical decision making. Manual segmentation of ...
Tomography, Optical Coherence Neural Networks, Computer Cornea Image Processing, Computer-Assisted Software
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Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.

Eye (London, England) Nov 15, 2022
Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic burden worldwide. We set out to review the literature on the application of artificial intelligence (AI) and bioinformatics for analysis of biofluid biomarkers in ...
Dry Eye Syndromes Proteomics Tears Humans Artificial Intelligence Cornea
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NerveStitcher: Corneal confocal microscope images stitching with neural networks.

Computers in biology and medicine Nov 9, 2022
Corneal nerves are of great interest to clinicians and scientists due to their potential for the diagnosis of early neurological disorders. In vivo confocal microscopy (IVCM) has been used as a novel and reliable tool for observing and quantifying co...
Microscopy, Confocal Neural Networks, Computer Cornea Humans
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A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain.

PloS one Nov 1, 2022
OBJECTIVES: To analyse various corneal nerve parameters using confocal microscopy along with systemic and orthoptic parameters in patients presenting with ocular surface pain using a random forest artificial intelligence (AI) model.
Cross-Sectional Studies Cornea Humans Artificial Intelligence Microscopy, Confocal Pain
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DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity.

IEEE transactions on medical imaging Aug 1, 2022
Accurate estimation and quantification of the corneal nerve fiber tortuosity in corneal confocal microscopy (CCM) is of great importance for disease understanding and clinical decision-making. However, the grading of corneal nerve tortuosity remains ...
Nerve Fibers Deep Learning Cornea Microscopy, Confocal
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Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

Drug development and industrial pharmacy May 19, 2022
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cationic-charged liposome formulation with enhanced trans-corneal drug permeation, prolonged corneal residence, and sustained drug release for effective o...
Drug Carriers Particle Size Drug Delivery Systems Brimonidine Tartrate Drug Liberation Cornea Lipids Liposomes
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KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning.

Cornea Apr 20, 2022
PURPOSE: We aimed to investigate the usefulness of Zernike coefficients (ZCs) for distinguishing subclinical keratoconus (KC) from normal corneas and to evaluate the goodness of detection of the entire corneal topography and tomography characteristic...
Deep Learning Adolescent ROC Curve Keratoconus Humans Corneal Topography Sensitivity and Specificity Algorithms Cornea Young Adult Retrospective Studies Adult
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