Detecting Autism Early

Duke researchers who developed a digital screening tool are now awaiting FDA approval

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Woman with little girl sitting on her lap looking at computer screen.

Dawson partnered with engineers and computer scientists, launching a yearslong collaboration that combines clinical expertise with advanced technology. It led to the development of a digital screening tool, an app dubbed SenseToKnow, that parents can use on a smartphone or tablet.

“We know that toddlers who will go on to have a diagnosis of autism tend to pay more attention to non-social information than social information. So, we designed a video where the social information was on one side of the screen and the non-social on the other side,” Dawson says.

Toddlers watch short videos while the device’s camera records their responses. It captures eye gaze, facial expressions, and movement patterns, and then uploads the recordings to a secure server at Duke. By using AI-based computer vision tools to automatically analyze the detection of early behavioral signs, the tool aims to provide more accurate and accessible screening.

“I learned a lot because the computer is able to detect very subtle variations in behavior. The resolution and the precision are just so much greater than the human eye,” Dawson says.

She and her team are now seeking clearance from the U.S. Food and Drug Administration. With guidance from the FDA, they are conducting a study of 200 children without an autism diagnosis and 150 with an autism diagnosis, recruited through Duke Primary Care.

“The SenseToKnow screening app is really one piece of a larger vision that we have for improving early access to care,” Dawson says.

Read more about the digital screening tool for autism on the Office of Interdisciplinary Programs.