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 …

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 …

Heart disease continues to be the leading cause of death in the USA. Deep learning-based
artificial intelligence (AI) methods have become increasingly common in studying the …

The advent of artificial intelligence (AI), especially the state-of-the-art deep learning
frameworks, has begun a silent revolution in all medical subfields, including ophthalmology …

The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Artificial Intelligence (AI) analytics has been used to predict, classify, and aid clinical
management of multiple eye diseases. Its robust performances have prompted researchers …

Retinal diseases affect an increasing number of patients worldwide because of the aging
population. Request for diagnostic imaging in ophthalmology is ramping up, while the …

Structural and functional alterations in the microcirculation by systemic hypertension can
cause significant organ damage at the eye, heart, brain, and kidneys. As the retina is the …

Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology,
revolutionizing disease diagnosis and management. This paper provides a comprehensive …