AIMC Topic: Glaucoma
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Influence of artificial intelligence on ophthalmologists' judgments in glaucoma.
PloS one
Apr 16, 2025
PURPOSE: To examine the influence of artificial intelligence (AI) on physicians' judgments regarding the presence and severity of glaucoma on fundus photographs in an online simulation system.
Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.
PloS one
Mar 21, 2025
Glaucoma is the leading cause of irreversible vision impairment, emphasizing the critical need for early detection. Typically, AI-based glaucoma screening relies on fundus imaging. To tackle the resource and time challenges in glaucoma screening with...
PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data.
Medicina (Kaunas, Lithuania)
Mar 20, 2025
: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on stand-alone models or International Classification of Diseases (ICD) codes is insufficient due to limited predictive power and inconsistencies in clini...
Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support.
Scientific reports
Mar 7, 2025
This paper proposes an architecture of the system that provides support for collaborative research focused on analysis of data acquired using Triggerfish contact lens sensor and devices for continuous monitoring of cardiovascular system properties. T...
The performance of ChatGPT-4 and Bing Chat in frequently asked questions about glaucoma.
European journal of ophthalmology
Feb 19, 2025
PurposeTo evaluate the appropriateness and readability of the responses generated by ChatGPT-4 and Bing Chat to frequently asked questions about glaucoma.MethodThirty-four questions were generated for this study. Each question was directed three time...
AI for glaucoma, Are we reporting well? a systematic literature review of DECIDE-AI checklist adherence.
Eye (London, England)
Feb 18, 2025
BACKGROUND/OBJECTIVES: This systematic literature review examines the quality of early clinical evaluation of artificial intelligence (AI) decision support systems (DSS) reported in glaucoma care. Artificial Intelligence applications within glaucoma ...
Predicting visual field global and local parameters from OCT measurements using explainable machine learning.
Scientific reports
Feb 16, 2025
Glaucoma is characterised by progressive vision loss due to retinal ganglion cell deterioration, leading to gradual visual field (VF) impairment. The standard VF test may be impractical in some cases, where optical coherence tomography (OCT) can offe...
Mathematical Modeling and Artificial Intelligence to Explore Connections Between Glaucoma and the Gut Microbiome.
Medicina (Kaunas, Lithuania)
Feb 14, 2025
Glaucoma is a major cause of irreversible blindness, with primary open-angle glaucoma (POAG) being the most prevalent form. While elevated intraocular pressure (IOP) is a well-known risk factor for POAG, emerging evidence suggests that the human gut...
Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008.
Scientific reports
Feb 10, 2025
Using follow-up data from the National Health and Nutrition Examination Survey (NHANES) database, we have collected information on 2572 subjects and used generalized linear model to investigate the association between urinary heavy metal levels and g...
Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images.
Computers in biology and medicine
Feb 3, 2025
Glaucoma detection from fundus images often relies on biomarkers such as the Cup-to-Disc Ratio (CDR) and Rim-to-Disc Ratio (RDR). However, precise segmentation of the optic cup and disc is challenging due to low-contrast boundaries and the interferen...
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