Key result
Artificial intelligence is increasingly utilized across preoperative, intraoperative, and postoperative domains of pediatric airway management, though it requires supplementation by clinical judgment.
Why the study?
The authors sought to evaluate the use of artificial intelligence in pediatric anesthesia, specifically in the challenging domain of the pediatric airway.
How is artificial intelligence utilized in the management of the pediatric airway during anesthesia?
How is artificial intelligence utilized in the management of the pediatric airway during anesthesia?
Artificial intelligence has applications across the perioperative domains of pediatric airway management but requires supplementation with clinical judgment.
AI applications in pediatric airway management remain exploratory; leaves open prospective validation before any clinical use.
Artificial intelligence is an ever-growing modality revolutionizing the field of medical science. It utilizes various computational models and algorithms and helps out in different sectors of healthcare. Here, in this scoping review, we are trying to evaluate the use of Artificial intelligence (AI) in the field of pediatric anesthesia, specifically in the more challenging domain, the pediatric airway. Different components within the domain of AI include machine learning, neural networks, deep learning, robotics, and computer vision. Electronic databases like Google Scholar, Cochrane databases, and Pubmed were searched. Different studies had heterogeneity of age groups, so all studies with children under 18 years of age were included and assessed. The use of AI was reviewed in the preoperative, intraoperative, and postoperative domains of pediatric anesthesia. The applicability of AI needs to be supplemented by clinical judgment for the final anticipation in various fields of medicine.
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Nemani et al. (2024) conducted a review in Pediatric airway management in anesthesia. Artificial intelligence was evaluated on Use of AI in preoperative, intraoperative, and postoperative domains of pediatric anesthesia. Artificial intelligence is increasingly utilized across preoperative, intraoperative, and postoperative domains of pediatric airway management, though it requires supplementation by clinical judgment.
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