AI in Robotic-assisted Pediatric Surgery: Current Applications and Future Directions
Topic overview
This systematic review examines the integration of artificial intelligence with robotic-assisted surgery in pediatric populations, analyzing 15 studies from 746 publications. While AI adoption in pediatric robotic surgery remains limited, current applications focus on machine vision and augmented reality as supportive tools, with emerging technologies showing promise for enhanced surgical precision and decision-making in children's unique anatomical contexts.
Key takeaways
- AI integration in pediatric robotic surgery remains limited, with current applications primarily supportive rather than autonomous decision-making.
- Machine vision and augmented reality represent the main AI-like features currently used in pediatric robotic-assisted procedures.
- Only 15 studies met criteria for AI application in pediatric RAS from 746 papers reviewed, indicating an emerging but nascent field.
- Unique anatomical and physiological challenges in children require specialized AI adaptations beyond adult robotic surgery applications.
- Future AI development in pediatric RAS shows promise for enhanced precision and workflow efficiency in complex pediatric procedures.
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How to cite: GlobalCastMD. AI in Robotic-assisted Pediatric Surgery: Current Applications and Future Directions. GlobalCastMD Medical Library. 2025-10-27. https://library.globalcastmd.com/article/11163
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