Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

A deep learning system can accurately detect vision-threatening diabetic retinopathy. A dual-modality, deep learning system can accurately detect vision-threatening diabetic retinopathy (vtDR) using ...

Researchers from the Czech Republic found that an AI system showed higher sensitivity and specificity for screening diabetic retinopathy compared to telemedicine evaluations.

This paper reviews and analyzes state-of-the-art deep learning methods in supervised, self-supervised, and Vision Transformer setups, proposing retinal fundus image classification and detection. For ...

ABSTRACT: Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss.

Objective: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic ...

Abstract Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss.