Please provide your email address to receive an email when new articles are posted on . AI models have the potential to learn features associated with race and infer race from retinal images. This ...

The field of retinal imaging has long provided a unique, non-invasive window to systemic vascular health, with microvascular ...

An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

Overview of the AI-Based Glaucoma Screening (AI-GS) network. The process begins with an image of the retina captured by a fundus camera. The AI-GS network employs lightweight AI models to analyze the ...

Please provide your email address to receive an email when new articles are posted on . A convolutional neural network model accurately and reliably predicted age and sex using retinal fundus images; ...

Deep machine learning can extract and quantify several risk factors for cardiovascular disease (CVD) from photographs of the retinal fundus, according to findings published online February 19 in ...

Walter and Eliza Hall Institute of Medical Research in Victoria, Australia led one of the largest eye studies in the world that used AI to analyse eye images of over 50,000 people to better understand ...

The retina is said to provide a window into a person's systemic health. In a new study published January 24 th in Science Translational Medicine, physician-researchers from Mass Eye and Ear, a member ...