Diabetic eye disease refers to a group of eye problems that people with diabetes may face as a complication of diabetes. All can cause severe vision loss or even blindness. Diabetic eye disease may include, diabetic retinopathy — damage to the blood vessels in the retina, Cataract—clouding of the eye's lens, glaucoma—increase in fluid pressure inside the eye that leads to optic nerve damage and loss of vision. A person with diabetes is nearly twice as likely to get glaucoma as other adults.
A medication frequently used to treat diabetic macular edema, which is the most common cause of blindness in people with diabetes, is less effective when used to treat the condition in Black patients, new study results show.
Results from the largest study of artificial intelligence use in the English Diabetic Eye Screening Programme (DESP), have shown that the technology can accurately detect serious eye disease among those with diabetes (retinopathy) and could halve the human workload associated with screening for diabetic eye disease, saving millions of pounds annually.
A lengthy-named gene called Elongation of Very Long Chain Fatty Acids Protein 2 or ELOVL2 is an established biomarker of age.
A survey conducted by The Harris Poll has uncovered key gaps in American's knowledge of eye health, and what they don't know is putting them at risk of vision loss.
Health products powered by artificial intelligence, or AI, are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots.
With $9.7 million in funding from the National Eye Institute, researchers at the University of Illinois at Chicago will study the impact of chronic eye disease among Latinos.
A new study presented at the Annual Meeting of the American Academy of Ophthalmologists (AAO) on October 14, 2019 reports an astonishing 95.% yield when artificial intelligence (AI) is used to screen a real life population for diabetic retinopathy.
The number of older Americans with low vision is expected to double in the coming years, as more people live longer.
This HbA1c analyzer is successfully supporting improved medical management of patients with sight-threatening diabetic retinopathy (STDR).
Researchers at Joslin Diabetes Center have shown that a protein found in the eye can protect against and potentially treat diabetic eye disease.
A change to the approach for treating diabetic macular edema may be on the way, thanks to a study published today in the Journal of the American Medical Association.
People with type 2 diabetes who received intensive treatment to keep their blood pressure levels at 130/80 mm/Hg or below had fewer heart attacks, strokes and other diabetes complications, according to a study published in the American Heart Association's journal Hypertension.
In a breakthrough study published today in Nature Medicine, researchers at Joslin Diabetes Center have identified a group of 17 circulating inflammatory proteins that are consistently associated with the development and progression of diabetic kidney disease.
As artificial intelligence continues to evolve, diagnosing disease faster and potentially with greater accuracy than physicians, some have suggested that technology may soon replace tasks that physicians currently perform.
The University of Virginia Health System is expanding its telehealth capacity to help patients across Virginia better prevent or manage chronic conditions that include diabetes, prediabetes and heart disease.
Researchers have used artificial intelligence to support the instant diagnosis of one of the top causes of blindness, diabetes-related eye disease, in its earliest stages.
Diabetic retinopathy is considered one of the most disabling complications of diabetes and the leading cause of new cases of vision loss among adults.
Automated reminder calls may be an effective tool to improve screening for diabetic eye disease among low-income minority patients, especially African Americans, a new study finds. The study results will be presented Monday at ENDO 2018, the Endocrine Society's 100th annual meeting in Chicago, Ill.
The ability of artificial intelligence (AI) to help screen patients for a common diabetic eye disease gains momentum with a new study published online today in Ophthalmology, the journal of the American Academy of Ophthalmology.
People with diabetes are twice as likely to develop cataract as the general population and the relative risk is highest in those aged between 45 and 54, according to a new study published in the journal Eye.