AIMC Topic: Macular Edema

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Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.

JAMA ophthalmology Sep 1, 2021
IMPORTANCE: Quantitative volumetric measures of retinal disease in optical coherence tomography (OCT) scans are infeasible to perform owing to the time required for manual grading. Expert-level deep learning systems for automatic OCT segmentation hav...
Humans Diabetic Retinopathy Deep Learning Female Male Tomography, Optical Coherence Macular Edema Wet Macular Degeneration
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DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

Retina (Philadelphia, Pa.) May 1, 2021
PURPOSE: To develop a deep learning (DL) model to detect morphologic patterns of diabetic macular edema (DME) based on optical coherence tomography (OCT) images.
Follow-Up Studies Humans Diabetic Retinopathy Visual Acuity Tomography, Optical Coherence Artificial Intelligence Macular Edema Retrospective Studies Deep Learning ROC Curve
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Smartphone-based diabetic macula edema screening with an offline artificial intelligence.

Journal of the Chinese Medical Association : JCMA Dec 1, 2020
BACKGROUND: Diabetic macular edema (DME) is a sight-threatening condition that needs regular examinations and remedies. Optical coherence tomography (OCT) is the most common used examination to evaluate the structure and thickness of the macula, but ...
Artificial Intelligence Image Processing, Computer-Assisted Smartphone Humans Taiwan Diabetic Retinopathy Tomography, Optical Coherence Neural Networks, Computer Macular Edema
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Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks.

Applied optics Nov 20, 2020
Disease classification and lesion segmentation of retinal optical coherence tomography images play important roles in ophthalmic computer-aided diagnosis. However, existing methods achieve the two tasks separately, which is insufficient for clinical ...
Humans Diabetic Retinopathy Neural Networks, Computer Algorithms Retinal Diseases Retinal Drusen Choroidal Neovascularization Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Tomography, Optical Coherence Macular Edema
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Optical coherence tomography-based diabetic macula edema screening with artificial intelligence.

Journal of the Chinese Medical Association : JCMA Nov 1, 2020
BACKGROUND: Optical coherence tomography (OCT) is considered as a sensitive and noninvasive tool to evaluate the macular lesions. In patients with diabetes mellitus (DM), the existence of diabetic macular edema (DME) can cause significant vision impa...
Humans Macular Edema Diabetic Retinopathy Artificial Intelligence Tomography, Optical Coherence
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Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

JAMA ophthalmology Sep 1, 2020
IMPORTANCE: Large amounts of optical coherence tomographic (OCT) data of diabetic macular edema (DME) are acquired, but many morphologic features have yet to be identified and quantified.
Algorithms Retrospective Studies Humans Receptors, Vascular Endothelial Growth Factor Female Diabetic Retinopathy Subretinal Fluid Aged Male Vascular Endothelial Growth Factor A Follow-Up Studies Middle Aged Intravitreal Injections Deep Learning Visual Acuity Recombinant Fusion Proteins Angiogenesis Inhibitors Ranibizumab Macular Edema
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Measuring Anatomical Outcomes of Anti-Vascular Endothelial Growth Factor Treatment of Diabetic Macular Edema With Artificial Intelligence-A Step Toward Individualized Medicine.

JAMA ophthalmology Sep 1, 2020
Visual Acuity Macular Edema Ranibizumab Humans Diabetic Retinopathy Artificial Intelligence Precision Medicine Deep Learning Diabetes Mellitus
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Performance of deep neural network-based artificial intelligence method in diabetic retinopathy screening: a systematic review and meta-analysis of diagnostic test accuracy.

European journal of endocrinology Jun 1, 2020
OBJECTIVE: Automatic diabetic retinopathy screening system based on neural networks has been used to detect diabetic retinopathy (DR). However, there is no quantitative synthesis of performance of these methods. We aimed to estimate the sensitivity a...
Humans Diabetic Retinopathy Fundus Oculi Macular Edema Neural Networks, Computer Artificial Intelligence Sensitivity and Specificity Mass Screening
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OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Retina (Philadelphia, Pa.) Dec 1, 2019
PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a d...
Area Under Curve Tomography, Optical Coherence Macular Edema Fluorescein Angiography Subretinal Fluid Pseudophakia Middle Aged Diagnosis, Computer-Assisted Visual Acuity Predictive Value of Tests Aged Sensitivity and Specificity Male Biomarkers Retrospective Studies Female Reproducibility of Results Humans Diabetic Retinopathy Machine Learning
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Intravitreal Injections Middle Aged Photography Diagnostic Techniques, Ophthalmological Deep Learning Retrospective Studies Angiogenesis Inhibitors Macula Lutea Vascular Endothelial Growth Factor A Female Randomized Controlled Trials as Topic Predictive Value of Tests Ranibizumab Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Tomography, Optical Coherence False Positive Reactions Diabetic Retinopathy Male Fundus Oculi Neural Networks, Computer Macular Edema
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