An analysis of the real world performance of an artificial intelligence based autism diagnostic.

Carmela Salomon¹, Kelianne Heinz², Judith Aronson-Ramos³, Dennis P Wall^2,4

¹Cognoa Inc., 2185 Park Blvd, Palo Alto, CA, 94306, USA. carmela.salomon@cognoa.com.

²Cognoa Inc., 2185 Park Blvd, Palo Alto, CA, 94306, USA.

³Society of Developmental and Behavioral Pediatrics, Virginia, USA.

⁴Department of Biomedical Data Science, Department of Pediatrics, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

PubMed PMC DOI PDF

Abstract

Rapidly rising demand for pediatric autism evaluations has outpaced specialist capacity and created a crisis of delayed diagnoses and treatment. Streamlining the diagnostic process could reduce wait times and optimize use of limited specialist resources. Following strong clinical trial results, Canvas Dx, an AI-based diagnostic, was FDA authorized to support accurate diagnosis or rule-out of autis…

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