Integration of an Artificial Intelligence-Based Autism Diagnostic Device into the ECHO Autism Primary Care Workflow: Prospective Observational Study.

Kristin Sohl¹, Erik Linstead², Kelianne Heinz³, Elia Eiroa Lledo², Alicia Brewer Curran¹, Melissa Mahurin¹, Valeria Nanclares-Nogués¹, Carmela Salomon³, Minda Seal³, Sharief Taraman^3,4,5

¹ECHO Autism Communities, University of Missouri School of Medicine, Columbia, MO, United States.

²Fowler School of Engineering, Chapman University, Orange, CA, United States.

³Cognoa Inc, 5000 Campus Drive, Newport Beach, CA, 92663, United States, 1 6507852624.

⁴Pediatric Neurology and Clinical Informatics, Children's Health of Orange County, Orange, CA, United States.

⁵School of Medicine, University of California Irvine, Irvine, CA, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Pediatric specialist shortages and rapidly rising autism prevalence rates have compelled primary care clinicians to consider playing a greater role in the autism diagnostic process. The ECHO Autism: Early Diagnosis Program (EDx) prepares clinicians to screen, evaluate, differentiate, diagnose, and provide longitudinal care for children with autism in primary care settings. Canvas Dx is…

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