Can AI detect eye diseases before vision is lost? How technology is changing eye care

Artificial intelligence (AI) is changing eye care by helping doctors detect signs of eye diseases at an early stage. By analysing images of the retina, AI-powered tools can identify abnormalities that may require further medical examination.

Which Eye Diseases Can AI Detect?

Diabetic retinopathy: AI can analyse retinal images to identify signs of diabetes-related eye damage before noticeable vision problems develop.

Glaucoma: AI tools can help identify suspicious changes in the optic nerve, although additional tests are often needed for diagnosis.

Age-related macular degeneration: AI can help doctors analyse retinal images and scans to detect and monitor changes affecting central vision.

How Does AI Help Protect Vision?

AI can analyse eye images quickly, support screening in areas with limited access to specialists and help identify patients who need further examination. Early detection allows doctors to recommend appropriate treatment or monitoring before some conditions cause serious vision loss.

However, AI screening is not always accurate and cannot detect every eye disease. Its results should be interpreted according to the system's intended use, with medical assessment when necessary.

Are Regular Eye Check-ups Still Necessary?

Yes. Many eye diseases develop without obvious symptoms in their early stages. People with diabetes and those at increased risk of eye disease should follow their doctor's recommendations for regular eye examinations.

Sudden vision loss or other sudden changes in eyesight require urgent medical attention.

AI is making eye disease screening faster and potentially more accessible. Although it cannot replace an eye specialist, it can support early detection and timely treatment. Regular eye examinations, early diagnosis and appropriate medical care remain essential for protecting eyesight.