The early detection of autism spectrum disorder remains difficult. Autism that remains undiagnosed for an extended period of time can result in delayed language and social skill development, which can have long-term consequences for a child’s quality of life. However, as digital health technologies progress, they are giving rise to creative solutions that can help detect autism earlier.

One such tool, EarliTec Diagnostics’s EarliPoint Evaluation app, which evaluates social interaction scenarios and diagnoses autism using eye-tracking. The software from EarliTec Diagnostics recently received 510(k) authorisation from the US Food and Drug Administration and is very simple to use, making it suitable for children who may be uneasy or unable to cooperate in typical therapeutic settings.

One of the most important advantages of this software is its capacity to detect autism early, allowing for earlier intervention and treatment. Early intervention has been demonstrated to enhance outcomes for autistic children, reducing the need for long-term assistance and boosting the quality of life.

The app is intended for tablet use and tracks eye movement while displaying social interaction situations utilising Dynamic Quantification of Social-Visual Engagement. The graphics displayed on the tablet portray various settings with varied levels of social interaction. The device evaluates the individual focal points at a rate of 120 times per second. This information is then analysed in order to make an autism diagnosis.

The app’s ability to analyse social interaction scenes using eye-tracking is a novel approach that can aid in the earlier diagnosis of autism, allowing children with autism to get the help they need to fulfill their full potential. As digital health technologies continue to develop, GlobalData anticipates the creation of additional cutting-edge approaches to improve the diagnosis and treatment of autism and other mental health issues.

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By GlobalData