AIMC Topic: Myopia
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A Deep Learning-Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children.
Translational vision science & technology
Mar 1, 2023
PURPOSE: To develop and validate a fully automated program for choroidal structure analysis within a 1500-µm-wide region of interest centered on the fovea (deep learning-based choroidal structure assessment program [DCAP]).
Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography.
Translational vision science & technology
Jul 8, 2022
PURPOSE: Intrachoroidal cavitations (ICCs) are peripapillary pathological lesions generally associated with high myopia that can cause visual field (VF) defects. The current study aimed to evaluate a three-dimensional (3D) volume parameter of ICCs se...
Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets.
Translational vision science & technology
May 2, 2022
PURPOSE: To develop a three-dimensional (3D) deep learning algorithm to detect glaucoma using spectral-domain optical coherence tomography (SD-OCT) optic nerve head (ONH) cube scans and validate its performance on ethnically diverse real-world datase...
Application of Artificial Intelligence and Deep Learning for Choroid Segmentation in Myopia.
Translational vision science & technology
Feb 1, 2022
PURPOSE: To investigate the correlation between choroidal thickness and myopia progression using a deep learning method.
A Deep Learning-Based Framework for Accurate Evaluation of Corneal Treatment Zone After Orthokeratology.
Translational vision science & technology
Dec 1, 2021
PURPOSE: Given the robust effectiveness of inhibiting myopia progression, orthokeratology has gained increasing popularity worldwide. However, identifying the boundary and the center of reshaped corneal area (i.e., treatment zone) is the main challen...
Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning.
Translational vision science & technology
Nov 1, 2021
PURPOSE: The purpose of this study was to engineer deep learning (DL) models that can identify myopic maculopathy in patients with high myopia based on optical coherence tomography (OCT) images.
Automated Analysis of Choroidal Sublayer Morphologic Features in Myopic Children Using EDI-OCT by Deep Learning.
Translational vision science & technology
Nov 1, 2021
PURPOSE: The purpose of this study was to analyze the choroidal sublayer morphologic features in emmetropic and myopic children using an automatic segmentation model, and to explore the relationship between choroidal sublayers and spherical equivalen...
Artificial intelligence in myopia: current and future trends.
Current opinion in ophthalmology
Sep 1, 2021
PURPOSE OF REVIEW: Myopia is one of the leading causes of visual impairment, with a projected increase in prevalence globally. One potential approach to address myopia and its complications is early detection and treatment. However, current healthcar...
[Research advances of morphological changes of the choroid in high myopia].
[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Jun 11, 2021
Choroidal thinning is an important feature of high myopia and has a negative correlation with the degree of myopia. However, due to the limitations of choroidal imaging, specific changes in choroidal thickness and vasculature are unclear. In recent y...
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.
The Lancet. Digital health
May 1, 2021
BACKGROUND: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are diagnose...
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