Key result
AI and global collaborations promise to overcome heterogeneity and ethical challenges in pediatric critical care.
Why the study?
High-quality research in pediatric critical care has lagged behind neonatal and adult fields due to ethical constraints, patient heterogeneity, scarcity of cases, and limited resources and support.
This review highlights the structural and ethical barriers to conducting high-quality research in pediatric critical care and advocates for leveraging big data, AI, and international trial networks to advance the field.
Challenges persist in pediatric critical care research; leaves open whether AI and international collaborations can accelerate progress.
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Atsushi Kawaguchi (2025) conducted a review in Pediatric critical care. Pediatric critical care research faces challenges due to patient heterogeneity and ethical constraints, but future potential lies in data utilization, artificial intelligence, and international collaborations.
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