Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

Diabetic retinopathy (DR) is a leading cause of visual impairment and blindness worldwide.
Since DR was first recognized as an important complication of diabetes, there have been …

Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …

Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …

Diabetic retinopathy (DR) is a visual obstacle caused by diabetic disease, which forms
because of long-standing diabetes mellitus, which damages the retinal blood vessels. This …

Purpose Our purpose was to use deep learning for the automated detection of age-related
macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT) …

In clinical ophthalmology, a variety of image-related diagnostic techniques have begun to
offer unprecedented insights into eye diseases based on morphological datasets with …

As the prevalence of diabetes increases, millions of people need to be screened for diabetic
retinopathy (DR). Remarkable advances in technology have made it possible to use artificial …

Purpose: To test the feasibility of using deep learning for optical coherence tomography
angiography (OCTA) detection of diabetic retinopathy. Methods: A deep-learning …