US study suggests GLP-1 RA drugs are associated with small increase in ischemic optic neuropathy

A target trial emulation found that people with type 2 diabetes who started glucagon-like peptide-1 receptor agonist (GLP-1RA ...
CNET

I Took a Vision Test in 90 Seconds With a Robot and Saw the Future of Vision Care

Not to mention paying out of pocket if you don't have vision insurance.  Eyebot, an AI-powered health tech company, wants to ...

FDA clears iHealthScreen’s AI diabetic retinopathy screening software

The company's software analyses images captured by the iCare DRSplus camera, a tool widely used in ophthalmology clinics and ...
Fierce Biotech

IHealthScreen nabs FDA nod for AI-backed dx to spot mild diabetic retinopathy

IHealthScreen hauled in FDA 510(k) clearance for its AI-powered diagnostic that detects mild diabetic retinopathy in diabetic ...
Frontiers

Detection of referable diabetic retinopathy using machine learning on routine clinical data

We enrolled 562 adults with diabetes who underwent fundus examination at a single tertiary center from June 2015 to December 2023, retrospectively and prospectively. RDR was defined as moderate ...
Frontiers

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
IEEE

Empowering DR Assessment: A DenseNet-CBAM Driven Approach

Abstract: Diabetic Retinopathy (DR) is leading cause of blindness that requires timely and accurate diagnosis for effective treatment. This paper presents a novel DR classification method using a ...
GitHub

Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models

Efficiently process large datasets & develop advanced model pipelines for diabetic retinopathy detection. Streamlining diagnosis. In this project, large datasets are efficiently handled by downloading ...
Scientific Research Publishing

Li, T., Gao, Y.Q., Wang, K., Guo, S., Liu, H. and Kang, H. (2019) Diagnostic Assessment of Deep Learning Algorithms for Diabetic Retinopathy Screening. Information Sciences ...

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.