A scalable computational approach to assessing response to name in toddlers with autism.

ABSTRACT:

Background

This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call.

Methods

During a pediatric primary care well-child visit, 910 toddlers, 17-37 months old, were administered an app on an iPhone or iPad consisting of brief movies during which the child's name was called three times by an examiner standing behind them. Thirty-seven toddlers were subsequently diagnosed with autism spectrum disorder (ASD). Name calls and children's behavior were recorded by the camera embedded

SUBMITTER: Perochon S 

PROVIDER: S-EPMC8397798 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature