Journal of Pediatrics Neonatal Biology

ABSTRACT

Artificial intelligence (AI) is revolutionizing pediatric critical care through predictive analytics, decision support systems, image-based diagnostics, and precision monitoring. By analyzing large-scale clinical datasets, AI aids in early detection of sepsis, respiratory failure, and hemodynamic instability, enabling timely interventions [1]. Integration of AI into electronic health records (EHRs) enhances clinical decision-making, reduces human error, and improves patient outcomes [2]. This review highlights the emerging applications, challenges, and ethical implications of AI in pediatric intensive care units (PICUs), emphasizing the need for validation, transparency, and clinician–AI collaboration.

Keywords: Artificial Intelligence; Pediatric Critical Care; Machine Learning; Predictive Analytics; PICU