Plans to expand the use of advanced digital eye screening to community settings across England could improve care for patients with diabetes and help relieve pressure on hospital ophthalmology ...

Researchers have developed the world's first real-world head-to-head testing platform to determine whether commercial artificial intelligence (AI) algorithms are fit for NHS use to detect disease in a ...

Researchers have developed the world’s first real-world head-to-head testing platform to determine whether commercial artificial intelligence (AI) algorithms are fit for NHS use to detect disease in a ...

Extending the annual screen to two years for people in England considered at low risk of diabetic eye disease could lead to critical treatment delays and sight loss, according to research led by St ...

Feedback is sought on new evidence suggesting that some Automated Retinal Image Analysis Systems are as effective as human ...

Despite guidelines recommending annual screenings, nearly half of patients with diabetes miss critical eye exams, explains Jose A. Martinez, MD, president and retina specialist at Austin Retina ...

Artificial intelligence (AI)-based retinal image analysis detects sight-threatening diabetic retinopathy as accurately as human graders, but is not yet licensed in the National Health Service's ...

Significant gaps exist in HCPs' knowledge, attitudes, and practices regarding DR screening, particularly among non-ophthalmic professionals. Inadequate training, lack of screening tools, and high ...

Please provide your email address to receive an email when new articles are posted on . Mental health issues and lack of awareness about diabetic eye screening were leading factors that led to ...

This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to the eye and improvements in restoring vision. This piece also marks part ...