AIMC Topic: Geographic Atrophy

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Sequence of Morphological Changes Preceding Atrophy in Intermediate AMD Using Deep Learning.

Investigative ophthalmology & visual science Jul 1, 2024
PURPOSE: Investigating the sequence of morphological changes preceding outer plexiform layer (OPL) subsidence, a marker preceding geographic atrophy, in intermediate AMD (iAMD) using high-precision artificial intelligence (AI) quantifications on opti...
Aged, 80 and over Male Middle Aged Disease Progression Humans Female Aged Retinal Pigment Epithelium Atrophy Retinal Drusen Geographic Atrophy Deep Learning Follow-Up Studies Tomography, Optical Coherence
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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...
Female Male Aged Middle Aged Aged, 80 and over Humans Disease Progression Macular Degeneration Neural Networks, Computer Geographic Atrophy Tomography, Optical Coherence Retina
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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.
Aged Aged, 80 and over Male Middle Aged Retrospective Studies Female Risk Factors Tomography, Optical Coherence Survival Analysis Fluorescein Angiography Fovea Centralis Incidence Follow-Up Studies Visual Acuity Humans Machine Learning Geographic Atrophy
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Multimodal imaging and deep learning in geographic atrophy secondary to age-related macular degeneration.

Acta ophthalmologica Dec 1, 2023
Geographic atrophy (GA) secondary to age-related macular degeneration is among the most common causes of irreversible vision loss in industrialized countries. Recently, two therapies have been approved by the US FDA. However, given the nature of thei...
Multimodal Imaging Tomography, Optical Coherence Macular Degeneration Fluorescein Angiography Geographic Atrophy Humans Artificial Intelligence Deep Learning
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A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography.

JAMA ophthalmology Nov 1, 2023
IMPORTANCE: The identification of patients at risk of progressing from intermediate age-related macular degeneration (iAMD) to geographic atrophy (GA) is essential for clinical trials aimed at preventing disease progression. DeepGAze is a fully autom...
Macular Degeneration Clinical Trials as Topic Geographic Atrophy Female Aged Aged, 80 and over Deep Learning Tomography, Optical Coherence Male Disease Progression Humans Algorithms Retrospective Studies
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Geographic Atrophy Segmentation Using Multimodal Deep Learning.

Translational vision science & technology Jul 3, 2023
PURPOSE: To examine deep learning (DL)-based methods for accurate segmentation of geographic atrophy (GA) lesions using fundus autofluorescence (FAF) and near-infrared (NIR) images.
Retrospective Studies Cross-Sectional Studies Humans Deep Learning Geographic Atrophy Fundus Oculi Clinical Studies as Topic
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DEVELOPMENT AND VALIDATION OF AN EXPLAINABLE ARTIFICIAL INTELLIGENCE FRAMEWORK FOR MACULAR DISEASE DIAGNOSIS BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Retina (Philadelphia, Pa.) Mar 1, 2022
PURPOSE: To develop and validate an artificial intelligence framework for identifying multiple retinal lesions at image level and performing an explainable macular disease diagnosis at eye level in optical coherence tomography images.
Tomography, Optical Coherence Macular Edema Wet Macular Degeneration Geographic Atrophy Male Humans Middle Aged Female Diabetic Retinopathy ROC Curve Artificial Intelligence Aged Retrospective Studies Adult
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Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images.

Translational vision science & technology Jul 1, 2021
PURPOSE: This study describes the development of a deep learning algorithm based on the U-Net architecture for automated segmentation of geographic atrophy (GA) lesions in fundus autofluorescence (FAF) images.
Humans Algorithms Reproducibility of Results Deep Learning Optical Imaging Geographic Atrophy
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Prediction of Individual Disease Conversion in Early AMD Using Artificial Intelligence.

Investigative ophthalmology & visual science Jul 2, 2018
PURPOSE: While millions of individuals show early age-related macular degeneration (AMD) signs, yet have excellent vision, the risk of progression to advanced AMD with legal blindness is highly variable. We suggest means of artificial intelligence to...
Aged, 80 and over Prospective Studies Double-Blind Method Male Female Geographic Atrophy Humans Disease Progression Image Interpretation, Computer-Assisted Middle Aged Aged Artificial Intelligence Tomography, Optical Coherence Wet Macular Degeneration Machine Learning Retinal Drusen Choroidal Neovascularization
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