Modern OCT devices can look inside the eye without a scalpel - but they do not always capture everything that matters. Some ...

HONG KONG (Reuters) - A Hong Kong scientist has developed a method to use machine learning and artificial intelligence to scan retinas of children as young as six to detect early autism or the risk of ...

Medical science has taken a remarkable leap forward in stroke prevention with the discovery that our eyes may hold the key to predicting stroke risk. Leading researchers have identified a ...

AI-assisted retinal imaging is emerging as a promising tool to support retinal disease detection and improve screening ...

Very preterm infants face up to a 50% higher risk of developmental challenges affecting movement, learning, language and ...

Researchers have identified novel retinal vascular signatures that are significantly associated with the risk for a first stroke. When combined with age and sex, these retinal “fingerprints” predicted ...

Retina Labs Demonstrates Retinal Imaging Technology and Shares Career Opportunities in Healthcare with Local Fifth ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Researchers at NIH have developed AI-based technology ...

A new study has for the first time tested the use of an artificial intelligence–powered eye scan in general practice clinics to screen patients for cardiovascular disease. Results of the research, ...

A recent Scientific Reports study developed DiaNet v2, an updated form of previously developed DiaNet, which was the first deep learning-based model to diagnose diabetes using retinal images. Study: ...

Retinal microaneurysms (MAs) are among the earliest signs of diabetic retinopathy (DR) and can be classified in several subtypes by non-invasive multimodal retinal imaging. The main aim of the present ...