AIMC Topic: Eye Infections, Bacterial
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Deep learning by Vision Transformer to classify bacterial and fungal keratitis using different types of anterior segment images.
Computers in biology and medicine
Mar 18, 2025
PURPOSE: To develop three novel Vision Transformer (ViT) frameworks for the specific diagnosis of bacterial and fungal keratitis using different types of anterior segment images and compare their performances.
From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study.
Scientific reports
Dec 14, 2023
Infectious keratitis (IK) is a major cause of corneal opacity. IK can be caused by a variety of microorganisms. Typically, fungal ulcers carry the worst prognosis. Fungal cases can be subdivided into filamentous and yeasts, which shows fundamental di...
Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.
Ophthalmology
Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
Classification Criteria for Syphilitic Uveitis.
American journal of ophthalmology
May 11, 2021
PURPOSE: To determine classification criteria for syphilitic uveitis.
Natural Language Processing to Quantify Microbial Keratitis Measurements.
Ophthalmology
Jun 11, 2019
A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements from the electronic health record (EHR) was 75-96% sensitive and 91%-96% specific. NLP accurately extracts data from the corneal exam free-text EHR f...
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.
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.
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