AI Medical Compendium Topic:
Tomography, Optical Coherence

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Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation.

Translational vision science & technology Mar 3, 2025
PURPOSE: The purpose of this study was to develop a robust and general purpose artificial intelligence (AI) system that allows the identification of retinal optical coherence tomography (OCT) volumes with pathomorphological manifestations not present...
Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning Macula Lutea Tomography, Optical Coherence Retinal Diseases Humans
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Structure-Function Correlation of Deep-Learning Quantified Ellipsoid Zone and Retinal Pigment Epithelium Loss and Microperimetry in Geographic Atrophy.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: The purpose of this study was to define structure-function correlation of geographic atrophy (GA) on optical coherence tomography (OCT) and functional testing on microperimetry (MP) based on deep-learning (DL)-quantified spectral-domain OCT ...
Aged, 80 and over Male Middle Aged Deep Learning Prospective Studies Female Aged Visual Field Tests Retinal Pigment Epithelium Geographic Atrophy Visual Acuity Tomography, Optical Coherence Visual Fields Humans
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Artificial Intelligence Versus Rules-Based Approach for Segmenting NonPerfusion Area in a DRCR Retina Network Optical Coherence Tomography Angiography Dataset.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: Loss of retinal perfusion is associated with both onset and worsening of diabetic retinopathy (DR). Optical coherence tomography angiography is a noninvasive method for measuring the nonperfusion area (NPA) and has promise as a scalable scre...
Humans Female Fluorescein Angiography Middle Aged Diabetic Retinopathy Tomography, Optical Coherence Deep Learning Aged Adult Artificial Intelligence Retinal Vessels Fundus Oculi ROC Curve Male Algorithms
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CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images.

Journal of cataract and refractive surgery Mar 1, 2025
PURPOSE: To assess a new objective deep learning model cataract grading method based on swept-source optical coherence tomography (SS-OCT) scans provided by the Anterion.
Aged Aged, 80 and over Young Adult Adult Humans Prospective Studies Female Cross-Sectional Studies Deep Learning Male ROC Curve Middle Aged Tomography, Optical Coherence Cataract
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New Method of Early RRMS Diagnosis Using OCT-Assessed Structural Retinal Data and Explainable Artificial Intelligence.

Translational vision science & technology Feb 3, 2025
PURPOSE: The purpose of this study was to provide the development of a method to classify optical coherence tomography (OCT)-assessed retinal data in the context of automatic diagnosis of early-stage multiple sclerosis (MS) with decision explanation.
Support Vector Machine Tomography, Optical Coherence Retina Multiple Sclerosis, Relapsing-Remitting Early Diagnosis Nerve Fibers Young Adult Humans Adult Male Artificial Intelligence Middle Aged Female
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Deep Learning Approaches to Predict Geographic Atrophy Progression Using Three-Dimensional OCT Imaging.

Translational vision science & technology Feb 3, 2025
PURPOSE: To evaluate the performance of various approaches of processing three-dimensional (3D) optical coherence tomography (OCT) images for deep learning models in predicting area and future growth rate of geographic atrophy (GA) lesions caused by ...
Humans Tomography, Optical Coherence Macular Degeneration Male Neural Networks, Computer Deep Learning Geographic Atrophy Disease Progression Female Imaging, Three-Dimensional Aged
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RetOCTNet: Deep Learning-Based Segmentation of OCT Images Following Retinal Ganglion Cell Injury.

Translational vision science & technology Feb 3, 2025
PURPOSE: We present RetOCTNet, a deep learning tool to segment the retinal nerve fiber layer (RNFL) and total retinal thickness automatically from optical coherence tomography (OCT) scans in rats following retinal ganglion cell (RGC) injury.
Retinal Ganglion Cells Ocular Hypertension Disease Models, Animal Optic Nerve Injuries Tomography, Optical Coherence Nerve Fibers Deep Learning Rats Animals Male
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Artificial Intelligence for Optical Coherence Tomography in Glaucoma.

Translational vision science & technology Jan 2, 2025
PURPOSE: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of ...
Artificial Intelligence Humans Neural Networks, Computer Deep Learning Glaucoma Tomography, Optical Coherence
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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.
Tomography, Optical Coherence Humans Artifacts Aged Neural Networks, Computer Retrospective Studies Retinal Ganglion Cells Visual Field Tests Male Cross-Sectional Studies Glaucoma Female Visual Fields Middle Aged Deep Learning
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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...
Robotics Tomography, Optical Coherence Humans Robotic Surgical Procedures Infant, Newborn Ophthalmologic Surgical Procedures
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