AI Medical Compendium Journal:
Translational vision science & technology

Showing 91 to 100 of 208 articles

Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology Aug 1, 2024
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.
Humans Students Refraction, Ocular Myopia Refractive Errors Prevalence Machine Learning Female Cross-Sectional Studies Male Mydriatics ROC Curve East Asian People Area Under Curve Biometry China Adolescent Child, Preschool Child
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Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data.

Translational vision science & technology Aug 1, 2024
PURPOSE: To predict 10-2 Humphrey visual fields (VFs) from 24-2 VFs and associated non-total deviation features using deep learning.
Vision Disorders Tomography, Optical Coherence Humans Visual Fields Aged Glaucoma Visual Field Tests Adult Female Male Middle Aged Deep Learning
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Topographic Clinical Insights From Deep Learning-Based Geographic Atrophy Progression Prediction.

Translational vision science & technology Aug 1, 2024
PURPOSE: To explore the contributions of fundus autofluorescence (FAF) topographic imaging features to the performance of convolutional neural network-based deep learning (DL) algorithms in predicting geographic atrophy (GA) growth rate.
Humans Neural Networks, Computer Algorithms Retrospective Studies Female Deep Learning Aged Clinical Trials as Topic Male Optical Imaging Middle Aged Fluorescein Angiography Disease Progression Geographic Atrophy
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Multi-Plexus Nonperfusion Area Segmentation in Widefield OCT Angiography Using a Deep Convolutional Neural Network.

Translational vision science & technology Jul 1, 2024
PURPOSE: To train and validate a convolutional neural network to segment nonperfusion areas (NPAs) in multiple retinal vascular plexuses on widefield optical coherence tomography angiography (OCTA).
Cross-Sectional Studies Male Middle Aged Deep Learning Neural Networks, Computer Tomography, Optical Coherence Humans Algorithms Diabetic Retinopathy Fluorescein Angiography Female Retinal Vessels Aged Adult
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SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images.

Translational vision science & technology Jul 1, 2024
PURPOSE: Several machine learning studies have used optical coherence tomography (OCT) for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance scanning laser ophthalmoscopy (IR-SLO) captures high-resolution fundus ima...
Infrared Rays Ophthalmoscopy Middle Aged ROC Curve Tomography, Optical Coherence Multiple Sclerosis Machine Learning Female Adult Male Humans Neural Networks, Computer
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Deep Learning-Based Vascular Aging Prediction From Retinal Fundus Images.

Translational vision science & technology Jul 1, 2024
PURPOSE: The purpose of this study was to establish and validate a deep learning model to screen vascular aging using retinal fundus images. Although vascular aging is considered a novel cardiovascular risk factor, the assessment methods are currentl...
Area Under Curve Pulse Wave Analysis Fundus Oculi Retinal Vessels Middle Aged Deep Learning ROC Curve Hypertension Humans Female Risk Factors Aged Aged, 80 and over Male Aging
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Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.

Translational vision science & technology Jun 3, 2024
PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pressure, use of ocular antihypertensive medications, and need for repeat surgery.
Intraocular Pressure Humans Retrospective Studies ROC Curve Male Neural Networks, Computer Electronic Health Records Treatment Outcome Middle Aged Glaucoma Female Antihypertensive Agents Deep Learning Machine Learning Aged
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Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research.

Translational vision science & technology Jun 3, 2024
PURPOSE: This study enhances Meibomian gland (MG) infrared image analysis in dry eye (DE) research through artificial intelligence (AI). It is comprised of two main stages: automated eyelid detection and tarsal plate segmentation to standardize meibo...
Middle Aged Image Processing, Computer-Assisted Meibomian Glands Infrared Rays Female Humans Diagnostic Techniques, Ophthalmological Aged Artificial Intelligence Dry Eye Syndromes Adult Male
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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.
Visual Fields Visual Field Tests Macula Lutea Tomography, Optical Coherence Female Humans Nerve Fibers Aged Glaucoma Optic Disk Male Prognosis Retinal Ganglion Cells Middle Aged Deep Learning
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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...
Neural Networks, Computer Female Aged Aged, 80 and over Male Middle Aged Disease Progression Tomography, Optical Coherence Retina Humans Macular Degeneration Geographic Atrophy
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