The technology combines eye-tracking analysis with developmental milestone data to assess whether a child may require a specialist evaluation. Researchers said the system could help reduce diagnostic waiting times by identifying children at higher risk of autism at an earlier stage. Parents simultaneously complete a developmental milestone questionnaire, with the AI model combining both data sets to generate an early risk indicator. They stressed, however, that the tool is intended to assist with early screening and prioritise referrals for specialist assessment, rather than replace a formal medical diagnosis. The partners aim to translate the research into a practical screening tool that can be used in clinics and, eventually, in homes.