Seven current trends in artificial intelligence in pediatrics

Czech version

Authors: Andrej Thurzo ¹; Ľudmila Podracká ²
Authors‘ workplace: Klinika ortodoncie a regeneratívnej a forenznej stomatológie, Lekárska fakulta Univerzity Komenského, Bratislava ¹; Detská klinika, Lekárska fakulta Univerzity Komenského, Národný ústav detských chorôb, Bratislava ²
Published in: Čes-slov Pediat 2025; 80 (5): 235-238.
Category:
doi: https://doi.org/10.55095/cspediatrie2025/041

Overview

Thurzo A, Podracká Ľ. Seven current trends in artificial intelligence in pediatrics

Artificial intelligence (AI) is rapidly finding its application in pediatrics across various areas of medicine. This review presents seven of the most current topics in the use of AI in pediatric care, including diagnostic imaging, predictive analytics for early warning of deterioration, personalized medicine with a focus on genomics and pharmacogenomics, support in diagnosing neurodevelopmental and behavioral disorders, intelligent clinical decision support systems, telemedicine and remote monitoring, as well as the ethical challenges related to implementing AI in children. In each of these domains, research already demonstrates tangible benefits –⁠ from improving the accuracy and speed of diagnosis to enabling individualized treatment and more efficient care. At the same time, we highlight the specific characteristics of the pediatric population that require caution when developing and deploying AI, especially regarding data quality, safety, transparency, and ethical standards. For pediatricians, it is important to become familiar with both the possibilities and limitations of artificial intelligence in order to responsibly harness its potential to improve child healthcare.

Keywords:

artificial intelligence – machine learning – Pediatrics – Telemedicine – personalized medicine – diagnostics – AI ethics

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