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 ...
Healio

FDA clears AI-powered screening software for diabetic retinopathy

DR, an AI-powered screening software designed to detect more than mild diabetic retinopathy in adults with diabetes, ...

iHealthScreen Receives U.S. FDA 510(k) Clearance (K253704) for iPredict-DR, an AI-Powered Software for Automated Diabetic Retinopathy Screening

HealthScreen, Inc., a healthcare AI company developing Software as a Medical Device (SaMD) for retinal and cardiovascular disease screening and preventive healthcare, today announced FDA 510(k) ...
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 ...
GitHub

Lesion-based Contrastive Learning

Two publicly-accessible datasets are used in this work. All trained models are stored in 'save_path' in config.py. The default path is './checkpoints'. Our final trained models on EyePACS can be ...
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 ...
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 ...
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 ...