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Artificial intelligence in pediatric airway - A scoping review
Sugandhi Nemani1, Shilpa Goyal1, Ankur Sharma2
1Department of Anaesthesiology and Critical Care, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Saudi Journal of Anaesthesia
|August 16, 2024
Summary
Artificial intelligence (AI) is transforming pediatric anesthesia, especially for complex pediatric airways. This review assesses AI
Area of Science:
- Medical Science
- Anesthesiology
- Pediatric Care
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare.
- Pediatric anesthesia presents unique challenges, particularly concerning the pediatric airway.
Purpose of the Study:
- To conduct a scoping review evaluating the application of AI in pediatric anesthesia.
- To specifically examine AI's role in managing the pediatric airway.
Main Methods:
- Searched electronic databases (Google Scholar, Cochrane, PubMed).
- Included studies involving patients under 18 years old.
- Assessed AI applications across preoperative, intraoperative, and postoperative phases.
Main Results:
- AI shows potential across various domains of pediatric anesthesia.
- Machine learning, neural networks, deep learning, robotics, and computer vision are key AI components.
- Heterogeneity in age groups across studies was noted.
Conclusions:
- AI applications in pediatric anesthesia require integration with clinical judgment.
- Further research is needed to optimize AI's role in pediatric airway management.
