An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.
Brandon S Aylward, Halim Abbas, Sharief Taraman, Carmela Salomon, Diana Gal-Szabo, Colleen Kraft, Louis Ehwerhemuepha, Anthony Chang, Dennis P Wall
PMID 36730317WHAT IT FOUND
This paper is an introduction to artificial intelligence concepts for pediatric clinicians, not a report of clinical evidence.
It explains how machine learning works and where it might fit in future care, but offers no data on whether specific AI tools improve patient outcomes.
What this paper is
This is an overview article describing the principles of artificial intelligence and machine learning in developmental and behavioral pediatrics. It outlines how these technologies work and discusses their potential applications in diagnosis and treatment, but it does not report original patient data or clinical trial results. There are no specific findings here to change your practice on.
Declared interests
Several authors are employees of Cognoa and hold stock options in the company. One author is the cofounder and board member of Cognoa. Other authors have financial relationships with various other health and therapy companies.
The easy way to misread this
Do not interpret this paper as evidence that AI tools are currently proven to improve clinical outcomes in developmental pediatrics. It is a conceptual overview of the technology and its potential future role, not a summary of effective interventions.