AIMC Topic: Ophthalmology
Clear Filters Showing 181 to 190 of 228 articles
Global disparity bias in ophthalmology artificial intelligence applications.
BMJ health & care informatics
Apr 1, 2022
Artificial intelligence in ophthalmology - Machines think!
Indian journal of ophthalmology
Apr 1, 2022
Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers.
Translational vision science & technology
Mar 2, 2022
PURPOSE: We evaluated the use of massive transformer-based language models to predict glaucoma progression requiring surgery using ophthalmology clinical notes from electronic health records (EHRs).
Machine Learning-Based Anomaly Detection Techniques in Ophthalmology.
JAMA ophthalmology
Feb 1, 2022
Ocular Diseases Detection using Recent Deep Learning Techniques.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Early fundus screening is a cost-effective and efficient approach to reduce ophthalmic disease-related blindness in ophthalmology. Manual evaluation is time-consuming. Ophthalmic disease detection studies have shown interesting results thanks to the ...
Updates in deep learning research in ophthalmology.
Clinical science (London, England : 1979)
Oct 29, 2021
Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the medical field. Deep learning (DL), in particular, has garnered significant attention due to the availability of large amounts of data and digitized ocular ima...
Generative adversarial networks in ophthalmology: what are these and how can they be used?
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: The development of deep learning (DL) systems requires a large amount of data, which may be limited by costs, protection of patient information and low prevalence of some conditions. Recent developments in artificial intelligence t...
Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: Artificial intelligence (AI) is the fourth industrial revolution in mankind's history. Natural language processing (NLP) is a type of AI that transforms human language, to one that computers can interpret and process. NLP is still ...
Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology.
Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: The purpose of this review is to provide an overview of healthcare standards and their relevance to multiple ophthalmic workflows, with a specific emphasis on describing gaps in standards development needed for improved integration...
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