Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

In the last two decades evidence has gradually accumulated suggesting that the eye may be
a unique window for cardiovascular risk stratification based on the assessment of subclinical …

Medical artificial intelligence (AI) offers great potential for recognizing signs of health
conditions in retinal images and expediting the diagnosis of eye diseases and systemic …

Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk
of DR progression is highly variable among different individuals, making it difficult to predict …

Background There is no simple model to screen for Alzheimer's disease, partly because the
diagnosis of Alzheimer's disease itself is complex—typically involving expensive and …

Retinal vasculature provides an opportunity for direct observation of vessel morphology,
which is linked to multiple clinical conditions. However, objective and quantitative …

Hypertensive eye disease includes a spectrum of pathological changes, the most well
known being hypertensive retinopathy. Other commonly involved parts of the eye in …

Early detection of visual impairment is crucial but is frequently missed in young children,
who are capable of only limited cooperation with standard vision tests. Although certain …

Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …

Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …