An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics.
Brandon S Aylward1, Halim Abbas1, Sharief Taraman1,2,3,4,5
1Cognoa, Inc, Palo Alto, CA.
Journal of Developmental and Behavioral Pediatrics : JDBP
|February 2, 2023
Summary
Artificial intelligence (AI) is transforming healthcare, especially developmental and behavioral pediatrics. This article explains AI principles, clinical potential, and pitfalls for pediatricians navigating this AI-driven future.
Area of Science:
- Healthcare Technology
- Developmental and Behavioral Pediatrics
- Artificial Intelligence in Medicine
Background:
- Medical information is doubling rapidly, necessitating advanced data analysis tools.
- Artificial intelligence (AI) is increasingly integrated into clinical practice, with over 160 FDA-approved health devices.
- Economic investment and research publications in AI healthcare are rapidly accelerating.
Purpose of the Study:
- To provide a primer on artificial intelligence (AI) in healthcare.
- To describe underlying AI principles and key performance metrics.
- To explore the clinical potential and pitfalls of AI in developmental and behavioral pediatrics.
Main Methods:
- Review of current trends in AI adoption in healthcare.
- Explanation of fundamental AI principles and performance metrics.
- Analysis of AI applications within the developmental and behavioral pediatric context.
Main Results:
- AI-powered health technologies are rapidly gaining regulatory approval and clinical integration.
- There is a significant gap in training for medical professionals regarding AI tools.
- AI offers substantial clinical potential but also presents potential pitfalls in pediatric care.
Conclusions:
- Healthcare is moving towards an AI-informed era, requiring pediatrician engagement.
- Understanding AI principles and performance is crucial for effective clinical application.
- Preparedness and training are essential for pediatricians to leverage AI benefits while mitigating risks.
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