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Detecting autism symptoms in children via an app? Yes, says new study from Duke

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 determine whether the child was looking more often at the human in the video, or objects. “We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people,” said Geraldine Dawson, Ph.D., director of the Duke Center for Autism and Brain Development, and co-senior author of a study appearing online April 26 in JAMA Pediatrics. Read the paper at this link.

App can detect autism sign in toddlers

The technology could one day become an inexpensive and scalable early screening tool, the research suggests. Researchers 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 looked more often at the human in the video, or objects. “We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people,” says Geraldine Dawson, director of the Duke Center for Autism and Brain Development, and co-senior author of a study in

Study shows smartphone app can identify autism symptoms in toddlers

 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 was looking more often at the human in the video, or objects. We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people, said Geraldine Dawson, Ph.D., director of the Duke Center for Autism and Brain Development, and co-senior author of a study appearing online April 26 in

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