AIMC Topic: Glaucoma

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Glaucoma detection: Binocular approach and clinical data in machine learning.

Artificial intelligence in medicine Dec 12, 2024
In this work, we present a multi-modal machine learning method to automate early glaucoma diagnosis. The proposed methodology introduces two novel aspects for automated diagnosis not previously explored in the literature: simultaneous use of ocular f...
Machine Learning Decision Trees Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Fundus Oculi Glaucoma
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Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study.

Medical science monitor : international medical journal of experimental and clinical research Dec 3, 2024
BACKGROUND Predicting 24-hour intraocular pressure (IOP) fluctuations is crucial for enhancing glaucoma management. Traditional methods of measuring 24-hour IOP fluctuations are complex and present certain limitations. The present study leverages mac...
Algorithms Female Adult Glaucoma Machine Learning Humans Circadian Rhythm Male Intraocular Pressure Area Under Curve Middle Aged Tonometry, Ocular
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine.

Scientific reports Nov 29, 2024
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. For mass fundus image-based glaucoma classification, an improved automated computer-aided ...
Principal Component Analysis Retina Machine Learning Algorithms Diagnosis, Computer-Assisted Humans Glaucoma
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CC-TransXNet: a hybrid CNN-transformer network for automatic segmentation of optic cup and optic disk from fundus images.

Medical & biological engineering & computing Nov 27, 2024
Accurate segmentation of the optic disk (OD) and optic cup (OC) regions of the optic nerve head is a critical step in glaucoma diagnosis. Existing architectures based on convolutional neural networks (CNNs) still suffer from insufficient global infor...
Fundus Oculi Optic Disk Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Glaucoma Humans
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A generalised computer vision model for improved glaucoma screening using fundus images.

Eye (London, England) Nov 5, 2024
IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. A novel, computer vision-based model for glaucoma screening using fundus images co...
Humans Reproducibility of Results Sensitivity and Specificity Deep Learning Algorithms Databases, Factual Glaucoma ROC Curve Fundus Oculi
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Diagnostic Performance of the Offline Medios Artificial Intelligence for Glaucoma Detection in a Rural Tele-Ophthalmology Setting.

Ophthalmology. Glaucoma Sep 12, 2024
PURPOSE: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) glaucoma software in a primary eye care setting, using nonmydriatic fundus images from Remidio's Fundus-on-Phone (FOP NM-10). Artificial intelligence ...
Rural Population Visual Acuity Telemedicine Visual Fields Ophthalmology Intraocular Pressure Male Middle Aged Aged Artificial Intelligence Cross-Sectional Studies Humans Prospective Studies Glaucoma Female
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Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTA.

Scientific reports Sep 2, 2024
Glaucoma is a group of neurodegenerative diseases that can lead to irreversible blindness. Yet, the progression can be slowed down if diagnosed and treated early enough. Optical coherence tomography angiography (OCTA) can non-invasively provide valua...
Case-Control Studies Deep Learning Middle Aged Female Optic Disk Tomography, Optical Coherence Aged Retinal Vessels Male Humans Glaucoma
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Federated Learning in Glaucoma: A Comprehensive Review and Future Perspectives.

Ophthalmology. Glaucoma Aug 29, 2024
CLINICAL RELEVANCE: Glaucoma is a complex eye condition with varied morphological and clinical presentations, making diagnosis and management challenging. The lack of a consensus definition for glaucoma or glaucomatous optic neuropathy further compli...
Federated Learning Machine Learning Artificial Intelligence Humans Deep Learning Glaucoma
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The AI revolution in glaucoma: Bridging challenges with opportunities.

Progress in retinal and eye research Aug 24, 2024
Recent advancements in artificial intelligence (AI) herald transformative potentials for reshaping glaucoma clinical management, improving screening efficacy, sharpening diagnosis precision, and refining the detection of disease progression. However,...
Humans Artificial Intelligence Glaucoma Algorithms
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The use of artificial neural networks in studying the progression of glaucoma.

Scientific reports Aug 23, 2024
In ophthalmology, artificial intelligence methods show great promise due to their potential to enhance clinical observations with predictive capabilities and support physicians in diagnosing and treating patients. This paper focuses on modelling glau...
Glaucoma Disease Progression Deep Learning Humans Neural Networks, Computer
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