AI Medical Compendium Topic:
Tomography, Optical Coherence

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Forecasting Myopic Maculopathy Risk Over a Decade: Development and Validation of an Interpretable Machine Learning Algorithm.

Investigative ophthalmology & visual science Jun 3, 2024
PURPOSE: The purpose of this study was to develop and validate prediction model for myopic macular degeneration (MMD) progression in patients with high myopia.
Algorithms Forecasting Female Risk Factors Humans Machine Learning Middle Aged Risk Assessment Disease Progression Adolescent Aged Young Adult Adult Male Macular Degeneration Myopia, Degenerative Child Follow-Up Studies Visual Acuity Tomography, Optical Coherence
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Visual Field Prognosis From Macula and Circumpapillary Spectral Domain Optical Coherence Tomography.

Translational vision science & technology Jun 3, 2024
PURPOSE: To explore the structural-functional loss relationship from optic-nerve-head- and macula-centred spectral-domain (SD) Optical Coherence Tomography (OCT) images in the full spectrum of glaucoma patients using deep-learning methods.
Macula Lutea Optic Disk Retinal Ganglion Cells Visual Fields Prognosis Visual Field Tests Female Middle Aged Aged Humans Deep Learning Male Glaucoma Tomography, Optical Coherence Nerve Fibers
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Deep Neural Networks for Automated Outer Plexiform Layer Subsidence Detection on Retinal OCT of Patients With Intermediate AMD.

Translational vision science & technology Jun 3, 2024
PURPOSE: The subsidence of the outer plexiform layer (OPL) is an important imaging biomarker on optical coherence tomography (OCT) associated with early outer retinal atrophy and a risk factor for progression to geographic atrophy in patients with in...
Humans Neural Networks, Computer Female Disease Progression Tomography, Optical Coherence Retina Aged Macular Degeneration Aged, 80 and over Geographic Atrophy Male Middle Aged
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ATN-Res2Unet: an advanced deep learning network for the elimination of saturation artifacts in endoscopy optical coherence tomography.

Optics express May 6, 2024
Endoscopic optical coherence tomography (OCT) possesses the capability to non-invasively image internal lumens; however, it is susceptible to saturation artifacts arising from robust reflective structures. In this study, we introduce an innovative de...
Deep Learning Humans Endoscopy Image Processing, Computer-Assisted Tomography, Optical Coherence Artifacts
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PallorMetrics: Software for Automatically Quantifying Optic Disc Pallor in Fundus Photographs, and Associations With Peripapillary RNFL Thickness.

Translational vision science & technology May 1, 2024
PURPOSE: We sough to develop an automatic method of quantifying optic disc pallor in fundus photographs and determine associations with peripapillary retinal nerve fiber layer (pRNFL) thickness.
Adult Male Middle Aged Deep Learning Tomography, Optical Coherence Fundus Oculi Nerve Fibers Optic Disk Humans Software Female Aged Retinal Ganglion Cells Optic Nerve Diseases Photography
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Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques.

Translational vision science & technology May 1, 2024
PURPOSE: This study aimed to develop artificial intelligence models for predicting postoperative functional outcomes in patients with rhegmatogenous retinal detachment (RRD).
Adult Male Middle Aged Deep Learning Tomography, Optical Coherence Retinal Detachment Endotamponade Artificial Intelligence Treatment Outcome Vitrectomy Retrospective Studies Visual Acuity Humans Female Aged
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Integrating Machine Learning and Traditional Survival Analysis to Identify Key Predictors of Foveal Involvement in Geographic Atrophy.

Investigative ophthalmology & visual science May 1, 2024
PURPOSE: The purpose of this study was to investigate the incidence of foveal involvement in geographic atrophy (GA) secondary to age-related macular degeneration (AMD), using machine learning to assess the importance of risk factors.
Fovea Centralis Geographic Atrophy Male Middle Aged Incidence Female Visual Acuity Follow-Up Studies Risk Factors Humans Tomography, Optical Coherence Aged Machine Learning Survival Analysis Aged, 80 and over Retrospective Studies Fluorescein Angiography
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[Preliminary study on automatic quantification and grading of leopard spots fundus based on deep learning technology].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Mar 11, 2024
To achieve automatic segmentation, quantification, and grading of different regions of leopard spots fundus (FT) using deep learning technology. The analysis includes exploring the correlation between novel quantitative indicators, leopard spot fund...
Female Tomography, Optical Coherence Humans Middle Aged Aged Fundus Oculi Cross-Sectional Studies Myopia Frontotemporal Dementia Male Deep Learning Axial Length, Eye Longitudinal Studies
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Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2.

JAMA ophthalmology Mar 1, 2024
IMPORTANCE: Deep learning image analysis often depends on large, labeled datasets, which are difficult to obtain for rare diseases.
Humans Retrospective Studies Female Middle Aged Male Rare Diseases Deep Learning Retinal Telangiectasis Tomography, Optical Coherence Supervised Machine Learning
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[Application of artificial intelligence methods in the diagnosis and treatment of primary angle-closure disease].

Vestnik oftalmologii Jan 1, 2024
This article reviews literature on the use of artificial intelligence (AI) methods for the diagnosis and treatment of primary angle-closure disease (PACD). The review describes how AI techniques enhance the efficiency of population screening for ante...
Microscopy, Acoustic Humans Glaucoma, Angle-Closure Artificial Intelligence Gonioscopy Deep Learning Tomography, Optical Coherence
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