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 …

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 …

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 …

Current guidelines recommend that individuals with diabetes receive yearly eye exams for
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …

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 …

This perspective highlights the importance of addressing social determinants of health
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …