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.
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