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 ...

2 School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and ...

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, ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

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

A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high blood pressure, high cholesterol, gout, osteoporosis and thyroid disease in ...

A routine eye photograph could soon become one of the fastest ways to check your overall health. Scientists have created an ...

Vascular mural cells (VMCs) are integral components of the retinal vasculature with critical homeostatic functions such as maintaining the inner blood-retinal barrier and vascular tone, as well as ...

FundusX-AI is an end-to-end research and demo system for fundus image analysis. It combines diabetic retinopathy classification, lesion detection, explainability, structured reporting, API serving, a ...

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, ...

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 ...