AIMC Topic: Retinal Pigment Epithelium
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Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach.
BMC ophthalmology
Jan 27, 2015
BACKGROUND: To investigate machine learning methods, ranging from simpler interpretable techniques to complex (non-linear) "black-box" approaches, for automated diagnosis of Age-related Macular Degeneration (AMD).
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 ...
Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.
Advances in experimental medicine and biology
Jan 1, 2025
Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographi...
Identification of Ferroptosis-Related Gene in Age-Related Macular Degeneration Using Machine Learning.
Immunity, inflammation and disease
Dec 1, 2024
BACKGROUND: Age-related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogene...
Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report.
Translational vision science & technology
Sep 3, 2024
PURPOSE: The purpose of this study was to develop a deep learning algorithm for detecting and quantifying incomplete retinal pigment epithelium and outer retinal atrophy (iRORA) and complete retinal pigment epithelium and outer retinal atrophy (cRORA...
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...
Deep Learning-Facilitated Study of the Rate of Change in Photoreceptor Outer Segment Metrics in RPGR-Related X-Linked Retinitis Pigmentosa.
Investigative ophthalmology & visual science
Nov 1, 2023
PURPOSE: The aim of this retrospective cohort study was to obtain three-dimensional (3D) photoreceptor outer segment (OS) metrics measurements with the assistance of a deep learning model (DLM) and to evaluate the longitudinal change in OS metrics an...
Network Biology and Medicine to Rescue: Applications for Retinal Disease Mechanisms and Therapy.
Advances in experimental medicine and biology
Jan 1, 2023
Inherited retinal degenerations (IRDs) are clinically and genetically heterogenous blinding diseases that manifest through dysfunction of target cells, photoreceptors, and retinal pigment epithelium (RPE) in the retina. Despite knowledge of numerous ...
Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.
The Journal of clinical investigation
Feb 3, 2020
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validate transplant function in clinical biomanufacturing. We developed a robust characterization methodolo...
Translational Retinal Imaging.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jan 1, 2020
The diagnosis and treatment of medical retinal disease is now inseparable from retinal imaging in all its multimodal incarnations. The purpose of this article is to present a selection of very different retinal imaging techniques that are truly trans...
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