Brian Eichner News Today

Researchers at Duke University have demonstrated an app driven by AI that can run on a tablet to accurately screen for autism in children by measuring and weighing a variety of distinct behavioral indicators.

Improving accuracy of screening would reduce disparities in early diagnosis and intervention. A tablet-based screening application for autism spectrum disorder (ASD) may improve early detection, suggests a study funded by the National Institutes of Health. Early detection is critical for access t

A 10-minute app can accurately screen for autism in children by automatically detecting a wide range of behavioral characteristics

<p>Researchers at Duke University have demonstrated an AI app that accurately screens for autism in children by measuring a variety of distinct behavioral indicators. The app evaluates the quality of the data, the confidence of its results and the probability that the child has autism. The results spell out exactly which of the behavioral indicators led to its conclusions. The app could help eliminate known disparities in early autism diagnosis and intervention.</p>

This Home of the Week subject is long, sleek and elegant – a real head-turner. One can almost imagine reclining on the bow with a freshly poured martini as Summerwind cuts through the water with all her sails unfurled.

by Stephanie Lopez — April 30, 2021 . DURHAM – A digital app successfully detected one of the telltale characteristics of autism in young children, suggesting the technology could one day become an inexpensive and scalable early screening tool, researchers at Duke University report. The research team created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to de...

 E-Mail DURHAM, N.C. - A digital app successfully detected one of the telltale characteristics of autism in young children, suggesting the technology could one day become an inexpensive and scalable early screening tool, researchers at Duke University report. The research team created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child w...