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 …

Diabetic retinopathy (DR) is a leading cause of vision-loss globally. Of an estimated 285
million people with diabetes mellitus worldwide, approximately one third have signs of DR …

Abstract Machine-learning models for medical tasks can match or surpass the performance
of clinical experts. However, in settings differing from those of the training dataset, the …

Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach
clinical expert level performance. However, such systems tend to demonstrate sub-optimal" …

Diabetic macular oedema, characterised by exudative fluid accumulation in the macula, is
the most common form of sight-threatening retinopathy in people with diabetes. It affects one …

The global incidence and prevalence of diabetes mellitus (DM) have reached epidemic
proportions. Estimates indicate that more than 360 million people will be affected by DM by …

There is a global diabetes epidemic correlating with an increase in obesity. This coincidence
may lead to a rise in the prevalence of type 2 diabetes. There is also an as yet unexplained …

Diabetes mellitus is an extremely prevalent endocrine disease and a major global public
health concern. Diabetic complications, such as retinopathy, nephropathy, neuropathy and …

The management of diabetic retinopathy (DR) has evolved considerably over the past
decade, with the availability of new technologies (diagnostic and therapeutic). As such, the …

Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-
level accuracy. This study aims to validate one such algorithm on a large-scale clinical …