Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected
by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as …

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 …

Diabetes is one of the leading fatal diseases globally, putting a huge burden on the global
healthcare system. Early diagnosis of diabetes is hence, of utmost importance and could …

In any community, the key to understanding the burden of a specific condition is to conduct
an epidemiological study. The deep learning system (DLS) recently showed promising …

Deep neural networks can extract clinical information, such as diabetic retinopathy status
and individual characteristics (eg age and sex), from retinal images. Here, we report the first …

Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes
lesions on the retina that effect vision. If it is not detected early, it can lead to blindness …

Diabetic retinopathy (DR) is an important disease leading to blindness in humans, attracting
a lot of research interests. Previous breakthrough research findings rely on deep learning …

Retinal fundus photography provides a non-invasive approach for identifying early
microcirculatory alterations of chronic diseases prior to the onset of overt clinical …

Cardiovascular disease (CVD), the leading cause of death globally, is associated with
complicated underlying risk factors. We develop an artificial intelligence model to identify …

Diabetes is a disease that occurs when the body presents an uncontrolled level of glucose
that is capable of damaging the retina, leading to permanent damage of the eyes or vision …