Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …

Artificial intelligence based retinal microvasculature analysis may supplement existing CVD
risk stratification approach. Although technical and socioeconomic challenges remain, we …

The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …

Aims We examine whether inclusion of artificial intelligence (AI)-enabled retinal
vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction …

Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …

Background: Cardiovascular diseases (CVDs) continue to be the leading cause of mortality
on a global scale. In recent years, the application of artificial intelligence (AI) techniques …

Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The
relationship between external risk factors and our genetics have not been well established. It …

As an anatomical extension of the brain, the retina of the eye is synaptically connected to the
visual cortex, establishing physiological connections between the eye and the brain. Despite …

Artificial intelligence (AI) offers tremendous potential to transform neonatology through
improved diagnostics, personalized treatments, and earlier prevention of complications …