Hong Kong researchers claim breakthrough method can detect autism risk by scanning back of eye

Chinese University team studied retinal images taken with specialised cameras for physical signs found in eyes of children with the disorder. The approach method promises a quick diagnostic tool that is up to 96% accurate, but they need more test subjects to fully develop the technique. — SCMP

Researchers in Hong Kong say they have developed a world-first method to detect autism in children by scanning and analysing the back of their eyes using cameras and computer technology.

The quick, non-invasive process can identify children at risk of the developmental disorder with up to 96% accuracy, but wider application of the finding is hampered by a lack of research subjects, according to team leader Professor Benny Zee Chung-ying, director of the centre for clinical research and biostatistics at Chinese University.