Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …

Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …

Background Diabetic retinopathy is a leading cause of preventable blindness, especially in
low-income and middle-income countries (LMICs). Deep-learning systems have the …

Diabetic retinopathy is a prominent cause of blindness among elderly people and has
become a global medical problem over the last few decades. There are several scientific …

A number of large technology companies have created code-free cloud-based platforms that
allow researchers and clinicians without coding experience to create deep learning …

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with
about 75% residing in low-and middle-income countries. Diabetic retinopathy (DR) affects 1 …

The COVID-19 pandemic has resulted in massive disruptions within health care, both
directly as a result of the infectious disease outbreak, and indirectly because of public health …

Background Deep learning is a novel machine learning technique that has been shown to
be as effective as human graders in detecting diabetic retinopathy from fundus photographs …

Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …