Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder

Thomas Megerian, Jonathan; Dey, Sangeeta; D. Melmed, Raun; L. Coury, Daniel; Lerner, Marc; J. Nicholls, Christopher; Sohl, Kristin; Rouhbakhsh, Rambod; Narasimhan, Anandhi; Romain, Jonathan; Golla, Sailaja; Shareef, Safiullah; Ostrovsky, Andrey; Shannon, Jennifer; A. Kraft, Colleen; Liu-Mayo, Stuart; Abbas, Halim; E. Gal‐Szabo, Diana; P. Wall, Dennis; Taraman, Sharief

doi:10.1038/s41746-022-00598-6

Public

Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder

Published in npj Digital Medicine • May 5, 2022

Authors:

Jonathan Thomas Megerian

Sangeeta Dey

Raun D. Melmed

Abstract

Autism spectrum disorder (ASD) can be reliably diagnosed at 18 months, yet significant diagnostic delays persist in the United States. This double-blinded, multi-site, prospective, active comparator cohort study tested the accuracy of an artificial intelligence-based Software as a Medical Device des...

Subject

Autism spectrum disorder

Confidence interval

Medicine

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