AIMC Topic: Keratitis

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Feasibility assessment of infectious keratitis depicted on slit-lamp and smartphone photographs using deep learning.

International journal of medical informatics Sep 17, 2021
BACKGROUND: This study aims to investigate how infectious keratitis depicted on slit-lamp and smartphone photographs can be reliably assessed using deep learning.
Humans Smartphone Feasibility Studies Retrospective Studies Keratitis Deep Learning
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Preventing corneal blindness caused by keratitis using artificial intelligence.

Nature communications Jun 18, 2021
Keratitis is the main cause of corneal blindness worldwide. Most vision loss caused by keratitis can be avoidable via early detection and treatment. The diagnosis of keratitis often requires skilled ophthalmologists. However, the world is short of op...
Blindness Medically Underserved Area Deep Learning Early Diagnosis Humans Sensitivity and Specificity Cornea Keratitis
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A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy images.

PloS one Jun 3, 2021
PURPOSE: Infiltration of activated dendritic cells and inflammatory cells in cornea represents an important marker for defining corneal inflammation. Deep transfer learning has presented a promising potential and is gaining more importance in compute...
Pterygium ROC Curve Area Under Curve Humans Cornea Diagnosis, Computer-Assisted Microscopy, Confocal Dry Eye Syndromes Sensitivity and Specificity Keratitis Models, Theoretical Deep Learning Ophthalmologists Dendritic Cells
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Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 5, 2021
We propose a fully-automatic deep learning-based algorithm for segmentation of ocular structures and microbial keratitis (MK) biomarkers on slit-lamp photography (SLP) images. The dataset consisted of SLP images from 133 eyes with manual annotations ...
Image Processing, Computer-Assisted Photography Biomarkers Keratitis Deep Learning Humans
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Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.

Computer methods and programs in biomedicine Aug 9, 2019
BACKGROUND AND OBJECTIVES: Fungal keratitis is caused by inflammation of the cornea that results from infection by fungal organisms. The lack of an early effective diagnosis often results in serious complications even blindness. Confocal microscopy i...
Microscopy, Confocal Mycoses Pattern Recognition, Automated False Positive Reactions Diagnosis, Computer-Assisted Deep Learning Algorithms Image Processing, Computer-Assisted Databases, Factual Cornea Reproducibility of Results Humans Keratitis Neural Networks, Computer
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Bacterial keratitis treated by strengthened antibiotic eye drops: An 18 months review of clinical cases and antibiotic susceptibilities.

Annales pharmaceutiques francaises Dec 19, 2017
PURPOSE: To describe, in patients treated for infectious keratitis, the microorganisms identified and their antibiotic susceptibility over a period of 18 months.
Aged, 80 and over Bacteria Adult Young Adult Visual Acuity Retrospective Studies Middle Aged Humans Male Ophthalmic Solutions Female Microbial Sensitivity Tests Eye Infections, Bacterial Anti-Bacterial Agents Keratitis Aged
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Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images.

Translational vision science & technology Jan 3, 2023
PURPOSE: To determine whether convolutional neural networks can detect morphological differences between images of microbiologically positive and negative corneal ulcers.
Cross-Sectional Studies Humans Keratitis Ulcer Neural Networks, Computer Artificial Intelligence
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Deep Learning for Discrimination Between Fungal Keratitis and Bacterial Keratitis: DeepKeratitis.

Cornea May 1, 2022
PURPOSE: Microbial keratitis is an urgent condition in ophthalmology that requires prompt treatment. This study aimed to apply deep learning algorithms for rapidly discriminating between fungal keratitis (FK) and bacterial keratitis (BK).
Keratitis Deep Learning Area Under Curve Neural Networks, Computer Retrospective Studies Humans
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Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

Cornea Dec 1, 2021
PURPOSE: The purpose of this article was to develop and validate a natural language processing (NLP) algorithm to extract qualitative descriptors of microbial keratitis (MK) from electronic health records.
Humans Keratitis Middle Aged Follow-Up Studies Electronic Health Records Natural Language Processing Algorithms Eye Infections, Bacterial Female Retrospective Studies Male
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