AIMC Topic: Tomography, Optical Coherence

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Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture.

Immunity, inflammation and disease Apr 1, 2025
BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory responses. The systemic inflammatory index (SII) and the systemic inflammatory response index (SIRI) have shown potential in predicting the occurrence of P...
Female Aged Male Middle Aged Humans Machine Learning Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Plaque, Atherosclerotic ROC Curve Inflammation Tomography, Optical Coherence Percutaneous Coronary Intervention
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RETINAL IMAGING ANALYSIS PERFORMED BY CHATGPT-4o AND GEMINI ADVANCED: The Turning Point of the Revolution?

Retina (Philadelphia, Pa.) Apr 1, 2025
PURPOSE: To assess the diagnostic capabilities of the most recent chatbots releases, GPT-4o and Gemini Advanced, facing different retinal diseases.
Generative Artificial Intelligence Tomography, Optical Coherence Retina Retinal Diseases Aged Fluorescein Angiography Humans Adult Retrospective Studies Male Female Middle Aged
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Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.

Translational vision science & technology Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Middle Aged Disease Progression Deep Learning Tomography, Optical Coherence ROC Curve Electronic Health Records Humans Nerve Fibers Female Retinal Ganglion Cells Glaucoma Aged Artificial Intelligence Male Retrospective Studies
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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...
Tomography, Optical Coherence Retinal Diseases Macula Lutea Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning 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 ...
Geographic Atrophy Tomography, Optical Coherence Visual Fields Visual Field Tests Retinal Pigment Epithelium Prospective Studies Female Aged Aged, 80 and over Male Middle Aged Deep Learning Visual Acuity 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 Diabetic Retinopathy Artificial Intelligence Male Middle Aged Deep Learning ROC Curve Algorithms Female Aged Adult Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Retinal Vessels
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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.
Tomography, Optical Coherence Cataract Aged, 80 and over Humans Male Young Adult Prospective Studies Adult Middle Aged Female Cross-Sectional Studies Deep Learning Aged ROC Curve
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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 Early Diagnosis Young Adult Adult Male Middle Aged Nerve Fibers Multiple Sclerosis, Relapsing-Remitting Humans Artificial Intelligence 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 ...
Macular Degeneration Geographic Atrophy Deep Learning Imaging, Three-Dimensional Female Tomography, Optical Coherence Humans Aged Neural Networks, Computer Male Disease Progression
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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.
Deep Learning Rats Disease Models, Animal Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Ocular Hypertension Optic Nerve Injuries Animals Male
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