AIMC Topic: Retina
Clear Filters Showing 211 to 220 of 454 articles
Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.
Ophthalmology. Retina
Jul 2, 2021
OBJECTIVE: Diseases such as age-related macular degeneration (AMD) are classified based on human rubrics that are prone to bias. Supervised neural networks trained using human-generated labels require labor-intensive annotations and are restricted to...
A Guide to Accessible Artificial Intelligence and Machine Learning for the 21st Century Retina Specialist.
Ophthalmic surgery, lasers & imaging retina
Jul 1, 2021
AI-based monitoring of retinal fluid in disease activity and under therapy.
Progress in retinal and eye research
Jun 22, 2021
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by high-resolution three-dimensional optical coherence tomography (OCT), which is used world-wide as a diagnostic gold standard largely replacing clinical exam...
Autoencoder based self-supervised test-time adaptation for medical image analysis.
Medical image analysis
Jun 19, 2021
Deep neural networks have been successfully applied to medical image analysis tasks like segmentation and synthesis. However, even if a network is trained on a large dataset from the source domain, its performance on unseen test domains is not guaran...
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.
Nature biomedical engineering
Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Diabetes Mellitus, Type 2
Renal Insufficiency, Chronic
Glomerular Filtration Rate
Deep Learning
Blood Glucose
ROC Curve
Body Weight
Retina
Body Height
Image Interpretation, Computer-Assisted
Body Mass Index
Area Under Curve
Fundus Oculi
Neural Networks, Computer
Prospective Studies
Female
Male
Middle Aged
Disease Progression
Humans
Metadata
Photography
Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients.
Sensors (Basel, Switzerland)
Jun 3, 2021
Diabetic retinopathy (DR) is the main cause of blindness in diabetic patients. Early and accurate diagnosis can improve the analysis and prognosis of the disease. One of the earliest symptoms of DR are the hemorrhages in the retina. Therefore, we pro...
Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward.
The British journal of ophthalmology
May 24, 2021
Artificial intelligence extension of the OSCAR-IB criteria.
Annals of clinical and translational neurology
May 19, 2021
Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data ...
Effects of subthreshold nanosecond laser therapy in age-related macular degeneration using artificial intelligence (STAR-AI Study).
PloS one
Apr 29, 2021
PURPOSE: To investigate changes in retinal thickness, drusen volume, and visual acuity following subthreshold nanosecond laser (SNL) treatment in patients with age-related macular degeneration (ARMD).
Classification Criteria for Acute Retinal Necrosis Syndrome.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: To determine classification criteria for acute retinal necrosis (ARN).
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