Artificial Intelligence in Pediatric Anesthesia - 01/08/25

Doi : 10.1016/j.anclin.2025.06.003

Firoozeh Madadi, MD ^a, Ali Dabbagh, MD ^a,^⁎ , A. Sassan Sabouri, MD ^b
^a Department of Anesthesiology, School of Medicine, Anesthesiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
^b Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA

^∗Corresponding author. Cardiac Anesthesiology Department, Modarres Hospital, Saadat Abad, Tehran, 1998734383, Iran.Cardiac Anesthesiology DepartmentModarres HospitalSaadat AbadTehran1998734383Iran

Résumé

This text explores the integration of artificial intelligence (AI) into pediatric anesthesiology, highlighting its potential to enhance safety, efficiency, and decision-making throughout the perioperative period. It addresses the unique challenges of pediatric anesthesia, including physiologic differences, limited communication, and congenital conditions. AI applications are being developed for operating room management, airway assessment, intraoperative monitoring, and postoperative care. These tools show promise in predicting surgical cancellations, difficult airways, hypoxia, and optimal intubation parameters. However, pediatric-specific data and tailored algorithms are essential, as adult models are often unsuitable. The study underscores the need for rigorous research and ethical application.

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Keywords : Artificial intelligence (AI), Pediatric anesthesiology, Machine learning (ML), Airway management, Perioperative decision support