AIMC Topic: Glaucoma

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Assessing the Efficacy of Synthetic Optic Disc Images for Detecting Glaucomatous Optic Neuropathy Using Deep Learning.

Translational vision science & technology Jun 3, 2024
PURPOSE: Deep learning architectures can automatically learn complex features and patterns associated with glaucomatous optic neuropathy (GON). However, developing robust algorithms requires a large number of data sets. We sought to train an adversar...
Algorithms Female Male Humans Glaucoma ROC Curve Optic Disk Optic Nerve Diseases Middle Aged Deep Learning
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Reply: Artificial intelligence chatbot and Academy Preferred Practice Pattern® Guidelines on cataract and glaucoma.

Journal of cataract and refractive surgery Jun 1, 2024
Academies and Institutes Humans Glaucoma Cataract Extraction Ophthalmology Artificial Intelligence Practice Guidelines as Topic Cataract
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Comment on: Artificial intelligence chatbot and Academy Preferred Practice Pattern ® Guidelines on cataract and glaucoma.

Journal of cataract and refractive surgery Jun 1, 2024
Humans Glaucoma Ophthalmology Practice Guidelines as Topic Academies and Institutes Cataract Extraction Cataract Artificial Intelligence
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Quantitative Assessment of Fundus Tessellated Density in Highly Myopic Glaucoma Using Deep Learning.

Translational vision science & technology Apr 2, 2024
PURPOSE: To characterize the fundus tessellated density (FTD) in highly myopic glaucoma (HMG) and high myopia (HM) for discovering early signs and diagnostic markers.
Deep Learning Choroid Frontotemporal Dementia Cross-Sectional Studies Myopia Atrophy Glaucoma Retrospective Studies Humans
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A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection.

Mathematical biosciences and engineering : MBE Mar 4, 2024
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if not treated in its early stages. The cup-to-disc ratio is a key criterion for glaucoma screening and diagnosis, and it is determined by dividing the area o...
Image Interpretation, Computer-Assisted Optic Disk Image Processing, Computer-Assisted Fuzzy Logic Fundus Oculi Reproducibility of Results Deep Learning Humans Glaucoma Neural Networks, Computer Algorithms
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Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data.

Journal of the American Medical Informatics Association : JAMIA Jan 18, 2024
OBJECTIVE: Surgical outcome prediction is challenging but necessary for postoperative management. Current machine learning models utilize pre- and post-op data, excluding intraoperative information in surgical notes. Current models also usually predi...
Treatment Outcome Deep Learning Neural Networks, Computer Glaucoma Machine Learning Humans
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Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection.

Translational vision science & technology Jan 2, 2024
PURPOSE: To develop and evaluate a deep learning (DL) model to assess fundus photograph quality, and quantitatively measure its impact on automated POAG detection in independent study populations.
Glaucoma Deep Learning Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Fundus Oculi Humans Ocular Hypertension
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[Application of artificial intelligence in glaucoma. Part 2. Neural networks and machine learning in the monitoring and treatment of glaucoma].

Vestnik oftalmologii Jan 1, 2024
The second part of the literature review on the application of artificial intelligence (AI) methods for screening, diagnosing, monitoring, and treating glaucoma provides information on how AI methods enhance the effectiveness of glaucoma monitoring a...
Disease Progression Glaucoma Artificial Intelligence Humans Machine Learning Neural Networks, Computer Diagnosis, Computer-Assisted
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Multi-dimensional dense attention network for pixel-wise segmentation of optic disc in colour fundus images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Segmentation of retinal fragments like blood vessels, Optic Disc (OD), and Optic Cup (OC) enables the early detection of different retinal pathologies like Diabetic Retinopathy (DR), Glaucoma, etc.
Diabetic Retinopathy Image Processing, Computer-Assisted Neural Networks, Computer Optic Disk Humans Glaucoma Fundus Oculi Image Interpretation, Computer-Assisted Deep Learning
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[Application of artificial intelligence in glaucoma. Part 1. Neural networks and deep learning in glaucoma screening and diagnosis].

Vestnik oftalmologii Jan 1, 2024
This article reviews literature on the use of artificial intelligence (AI) for screening, diagnosis, monitoring and treatment of glaucoma. The first part of the review provides information how AI methods improve the effectiveness of glaucoma screenin...
Tomography, Optical Coherence Neural Networks, Computer Diagnostic Techniques, Ophthalmological Deep Learning Glaucoma Humans Mass Screening Artificial Intelligence
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