In Focus: AI study alleviates screening burden

Researchers have developed artificial intelligence (AI) algorithms that automated the screening process of remote eye tests for diabetic retinopathy. The team from Queen’s University Belfast, the Philippine Eye Research Institute and Joslin Diabetes Center of Harvard Medical School used images taken in the Philippines.

It was said the technology could prevent blindness while making huge cost-savings, particularly in less developed countries, and matched existing commercial algorithms. Researchers noted the introduction of diabetic retinopathy screening programmes in countries like the Philippines faced challenges, such as low resources, high population and lack of healthcare infrastructure.

They said the use of digital technology and portable, handheld retinal cameras operated by trained imagers was suited to addressing these issues. Images were captured on a retinal camera to check for any signs of diabetic eye disease and sent electronically to a centralised reading centre.