AIMC Topic: Retina

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ANALYSIS OF FLUID VOLUME AND ITS IMPACT ON VISUAL ACUITY IN THE FLUID STUDY AS QUANTIFIED WITH DEEP LEARNING.

Retina (Philadelphia, Pa.) Jun 1, 2021
PURPOSE: To investigate quantitative differences in fluid volumes between subretinal fluid (SRF)-tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related macular degeneration and analyze the association with best-corrected vi...
Humans Tomography, Optical Coherence Retina Subretinal Fluid Intracellular Fluid Algorithms Deep Learning Visual Acuity
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Double-path parallel convolutional neural network for removing speckle noise in different types of OCT images.

Applied optics May 20, 2021
Speckle noises widely exist in optical coherence tomography (OCT) images. We propose an improved double-path parallel convolutional neural network (called DPNet) to reduce speckles. We increase the network width to replace the network depth to extrac...
Mice Tomography, Optical Coherence Skin Neural Networks, Computer Coturnix Animals Algorithms Colon Humans Image Processing, Computer-Assisted Retina Embryo, Nonmammalian
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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...
Deep Learning Cohort Studies ROC Curve Area Under Curve Reproducibility of Results Biomedical Research Myopia Proof of Concept Study Blockchain Retina Macular Degeneration Datasets as Topic Algorithms Retrospective Studies Humans Artificial Intelligence
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Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.

The Lancet. Digital health May 1, 2021
BACKGROUND: Coronary artery calcium (CAC) score is a clinically validated marker of cardiovascular disease risk. We developed and validated a novel cardiovascular risk stratification system based on deep-learning-predicted CAC from retinal photograph...
Humans Algorithms Proportional Hazards Models Kaplan-Meier Estimate Vascular Calcification Coronary Artery Disease Middle Aged Retina Risk Assessment United Kingdom Adult Deep Learning Area Under Curve Male Republic of Korea ROC Curve Singapore Cardiovascular Diseases Female Predictive Value of Tests Aged
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Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning.

Translational vision science & technology Apr 1, 2021
PURPOSE: This study sought to perform automated segmentation of 11 retinal layers and Stargardt-associated features on spectral-domain optical coherence tomography (SD-OCT) images and to analyze differences between normal eyes and eyes diagnosed with...
Deep Learning Tomography, Optical Coherence Humans Stargardt Disease Retina Algorithms
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Full-color retinal-projection near-eye display using a multiplexing-encoding holographic method.

Optics express Mar 15, 2021
We propose a novel method to construct an optical see-through retinal-projection near-eye display using the Maxwellian view and a holographic method. To provide a dynamic full-color virtual image, a single phase-only spatial light modulator (SLM) was...
Retina Optics and Photonics Artificial Intelligence Virtual Reality Holography
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Addressing Artificial Intelligence Bias in Retinal Diagnostics.

Translational vision science & technology Feb 5, 2021
PURPOSE: This study evaluated generative methods to potentially mitigate artificial intelligence (AI) bias when diagnosing diabetic retinopathy (DR) resulting from training data imbalance or domain generalization, which occurs when deep learning syst...
Mass Screening Fundus Oculi Retina Humans Diabetic Retinopathy Artificial Intelligence
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Artificial intelligence: from the retina to the brain.

Arquivos brasileiros de oftalmologia Jan 1, 2021
Brain Retina Humans Artificial Intelligence
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AI-automated referral for patients with visual impairment.

The Lancet. Digital health Jan 1, 2021
Humans Retina Deep Learning Referral and Consultation Vision, Low
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Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.

The Lancet. Digital health Oct 1, 2020
BACKGROUND: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep learning for ...
Creatinine Retina Ethnicity Male Singapore Photography Middle Aged Body Composition Muscles Deep Learning Models, Biological Europe United Kingdom ROC Curve Humans Area Under Curve Biomarkers Beijing Neural Networks, Computer Image Processing, Computer-Assisted Republic of Korea Algorithms Asia Female
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