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, ...
Rutland Herald

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) ...

Researchers develop diagnostic model to detect COVID-related eye problems

Mild COVID-19 can cause severe and long-lasting eye problems, according to a study from Linköping University, Sweden. The ...
Opinion
Ophthalmology TimesOpinion

Mulling over options for mitigating severe vision loss from diabetes

For decades, the management of diabetic retinopathy (DR) has consisted mainly of optimizing metabolic control (blood glucose, pressure and lipids) and routine surveillance as preventive strategies, ...
bjo.bmj

Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography

Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested ...
GitHub

transfer-learning-with-cnn

A Deep Learning Humerus Bone Fracture Detection Model which classifies a broken humerus bone X-ray image from a normal X-ray image with no fracture using Back Propagation, Regularization, ...
Frontiers

Research on gastrointestinal polyp detection method based on improved YOLOv7

In the medical field, the detection of gastrointestinal polyps through endoscopic images is confronted with challenges such as complex backgrounds and numerous irrelevant factors. These issues often ...