ETHISYNC’s Autism Spectrum Disorder Diagnostic Support System is a digital healthcare solution that uses non-contact eye-tracking technology to collect and analyze gaze and oculomotor behavior while children view visual stimuli. The system quantifies fixation patterns and gaze transition characteristics across key areas of interest, including faces, eyes, mouths, people, and geometric stimuli, and provides objective indicators associated with autism spectrum characteristics. During the assessment process, quality metrics such as calibration accuracy, viewing rate, and valid data ratio are monitored to improve analytical reliability. The results are designed to support clinicians as supplementary information alongside existing clinical assessments. By using a non-invasive and contact-free approach, the system minimizes the burden on infants and children and aims to establish a data-driven assessment environment that can be extended from early screening and diagnostic support to continuous monitoring of developmental changes.

ETHISYNC’s Intervention Training Data Collection System is a platform that standardizes, collects, and manages clinical data generated during therapy and training for children with developmental delays, while supporting personalized intervention. Therapists can record correct and incorrect responses, prompting levels, and problem behaviors in real time during each session and monitor progress toward treatment goals. Ontology-based data integration and normalization technology enables data from assessment tools, diagnostic devices, and external applications to be integrated into a standardized clinical schema, allowing longitudinal management of each child’s developmental trajectory. The Agentic AI module analyzes patterns such as stagnation, regression, and mastery, and proposes program adjustments including difficulty level, treatment goals, and prompting strategies together with supporting evidence. These recommendations are applied only after therapist review and approval. Administrator dashboards and parent-facing progress reports further support the sharing of treatment status and developmental changes, creating a data-driven intervention environment that connects diagnosis, intervention, and home-based care.