AI Medical Compendium Journal:
Translational vision science & technology

Showing 71 to 80 of 208 articles

Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited Settings.

Translational vision science & technology Jan 2, 2025
PURPOSE: The purpose of this study was to develop and validate a deep-learning model for noninvasive anemia detection, hemoglobin (Hb) level estimation, and identification of anemia-related retinal features using fundus images.
India Image Processing, Computer-Assisted Fundus Oculi Retina Hemoglobins Anemia Resource-Limited Settings Male Middle Aged Deep Learning ROC Curve Aged Adult Sensitivity and Specificity Humans Neural Networks, Computer Female
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Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models.

Translational vision science & technology Jan 2, 2025
PURPOSE: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Female Aged Cross-Sectional Studies Male Neural Networks, Computer Glaucoma Retrospective Studies Retinal Ganglion Cells Visual Fields Visual Field Tests Middle Aged Deep Learning Tomography, Optical Coherence Artifacts Humans
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New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.

Translational vision science & technology Jan 2, 2025
The introduction of optical coherence tomography (OCT) in the 1990s revolutionized diagnostic ophthalmic imaging. Initially, OCT's role was primarily in the adult ambulatory ophthalmic clinics. Subsequent advances in handheld form factors, integratio...
Humans Robotic Surgical Procedures Ophthalmologic Surgical Procedures Infant, Newborn Robotics Tomography, Optical Coherence
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Performance on Activities of Daily Living and User Experience When Using Artificial Intelligence by Individuals With Vision Impairment.

Translational vision science & technology Jan 2, 2025
PURPOSE: This study assessed objective performance, usability, and acceptance of artificial intelligence (AI) by people with vision impairment. The goal was to provide evidence-based data to enhance technology selection for people with vision loss (P...
Cross-Over Studies Female Activities of Daily Living Aged Humans Adult Self-Help Devices Artificial Intelligence Cross-Sectional Studies Smart Glasses Male Middle Aged Mobile Applications Vision Disorders
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The Associations Between Myopia and Fundus Tessellation in School Children: A Comparative Analysis of Macular and Peripapillary Regions Using Deep Learning.

Translational vision science & technology Jan 2, 2025
PURPOSE: To evaluate the refractive differences among school-aged children with macular or peripapillary fundus tessellation (FT) distribution patterns, using fundus tessellation density (FTD) quantified by deep learning (DL) technology.
Humans Female Cross-Sectional Studies Male Child Fundus Oculi Optic Disk Macula Lutea Refraction, Ocular Myopia Deep Learning Adolescent
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A Deep Learning Network for Accurate Retinal Multidisease Diagnosis Using Multiview Fusion of En Face and B-Scan Images: A Multicenter Study.

Translational vision science & technology Dec 2, 2024
PURPOSE: Accurate diagnosis of retinal disease based on optical coherence tomography (OCT) requires scrutiny of both B-scan and en face images. The aim of this study was to investigate the effectiveness of fusing en face and B-scan images for better ...
Retina Retinal Diseases Imaging, Three-Dimensional Area Under Curve Tomography, Optical Coherence Humans Female Sensitivity and Specificity Male Middle Aged Deep Learning
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Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response.

Translational vision science & technology Dec 2, 2024
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, develop risk models to differentiate diabetic macular edema (DME), and predict anti-vascular endothelial growth factor (anti-VEGF) therapy response.
Humans Aged Aqueous Humor Diabetic Retinopathy Male Machine Learning Middle Aged Macular Edema Prospective Studies Multiomics Vascular Endothelial Growth Factor A Diabetes Mellitus, Type 2 Biomarkers Angiogenesis Inhibitors Chromatography, High Pressure Liquid Female Metabolomics Lipidomics
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Eye-Rubbing Detection Tool Using Artificial Intelligence on a Smartwatch in the Management of Keratoconus.

Translational vision science & technology Dec 2, 2024
PURPOSE: Eye rubbing is considered to play a significant role in the progression of keratoconus and of corneal ectasia following refractive surgery. To our knowledge, no tool performs an objective quantitative evaluation of eye rubbing using a device...
Humans Artificial Intelligence Machine Learning Algorithms Deep Learning Wearable Electronic Devices Support Vector Machine Keratoconus Massage
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CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans.

Translational vision science & technology Dec 2, 2024
PURPOSE: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from different devices are not interchangeable. This poses challenges to patient follow-up and collaborative studies. Here, we present a device-agnostic me...
Middle Aged Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Female Aged Humans Adult Neural Networks, Computer Male
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SLOctolyzer: Fully Automatic Analysis Toolkit for Segmentation and Feature Extracting in Scanning Laser Ophthalmoscopy Images.

Translational vision science & technology Nov 4, 2024
PURPOSE: The purpose of this study was to introduce SLOctolyzer: an open-source analysis toolkit for en face retinal vessels in infrared reflectance scanning laser ophthalmoscopy (SLO) images.
Ophthalmoscopy Deep Learning Humans Retinal Vessels Software Image Processing, Computer-Assisted Reproducibility of Results Tomography, Optical Coherence Optic Disk
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