AIMC Topic: Diabetic Retinopathy

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Empirical analysis on retinal segmentation using PSO-based thresholding in diabetic retinopathy grading.

Biomedizinische Technik. Biomedical engineering Jan 6, 2025
OBJECTIVES: Diabetic retinopathy (DR) is associated with long-term diabetes and is a leading cause of blindness if it is not diagnosed early. The rapid growth of deep learning eases the clinicians' DR diagnosing procedure. It automatically extracts t...
Algorithms Deep Learning Image Processing, Computer-Assisted Retina Humans Diabetic Retinopathy
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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer.

Frontiers in public health Jan 6, 2025
INTRODUCTION: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. In practice, this task mainly relies on manual inspection using human visual system. However, the human visual system-based screening process is...
Deep Learning Humans Diabetic Retinopathy Image Processing, Computer-Assisted Algorithms
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Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence.

JAMA network open Jan 2, 2025
IMPORTANCE: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-correc...
Humans Diabetic Retinopathy Artificial Intelligence Algorithms Male Middle Aged Visual Acuity Tomography, Optical Coherence Retrospective Studies Female Aged Cross-Sectional Studies Eyeglasses Fundus Oculi Macular Edema Photography
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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes.

Cardiovascular diabetology Jan 2, 2025
BACKGROUND: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learnin...
Diabetes Mellitus, Type 2 Predictive Value of Tests Heart Disease Risk Factors Prognosis Image Interpretation, Computer-Assisted Humans Female Risk Assessment Diabetic Retinopathy Reproducibility of Results Deep Learning Photography Decision Support Techniques Aged Risk Factors Retinal Vessels Time Factors Male Cardiovascular Diseases Middle Aged
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A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.

Scientific reports Dec 30, 2024
As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rar...
Deep Learning Humans Aged Diabetic Retinopathy Male Neural Networks, Computer Prognosis Middle Aged Algorithms Retrospective Studies Disease Progression Female
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Integration of Optical Coherence Tomography Images and Real-Life Clinical Data for Deep Learning Modeling: A Unified Approach in Prognostication of Diabetic Macular Edema.

Journal of biophotonics Dec 29, 2024
The primary ocular effect of diabetes is diabetic retinopathy (DR), which is associated with diabetic microangiopathy. Diabetic macular edema (DME) can cause vision loss for people with DR. For this reason, deciding on the appropriate treatment and f...
Humans Diabetic Retinopathy Prognosis Female Male Middle Aged Macular Edema Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence
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Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme.

Diabetes research and clinical practice Dec 19, 2024
AIMS: Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to ass...
Mass Screening State Medicine Health Personnel Female Humans Aged Middle Aged Diabetic Retinopathy Male England Artificial Intelligence Surveys and Questionnaires Attitude of Health Personnel
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Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy.

Scientific reports Dec 18, 2024
Diabetic Retinopathy (DR) stands as a significant global cause of vision impairment, underscoring the critical importance of early detection in mitigating its impact. Addressing this challenge head-on, this study introduces an innovative deep learnin...
Retina Image Interpretation, Computer-Assisted Diabetic Retinopathy Neural Networks, Computer Algorithms Deep Learning Humans
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Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.

PloS one Dec 17, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relat...
Artificial Intelligence Glycated Hemoglobin Fundus Oculi Software Non-alcoholic Fatty Liver Disease Humans Risk Factors Female Japan Diabetic Retinopathy Sensitivity and Specificity Middle Aged Image Interpretation, Computer-Assisted Cross-Sectional Studies Severity of Illness Index Photography Male Liver Cirrhosis Protective Factors Cholinesterases
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L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction.

Computers in biology and medicine Dec 16, 2024
Pre-training strategies based on self-supervised learning (SSL) have demonstrated success as pretext tasks for downstream tasks in computer vision. However, while SSL methods are often domain-agnostic, their direct application to medical imaging is c...
Longitudinal Studies Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Diabetic Retinopathy Female Male Disease Progression
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