-
1
Craniomaxillofacial surgery involves complex anatomy and high surgical risks, necessitating improved perioperative management strategies.
-
2
Artificial intelligence offers potential advancements in perioperative risk assessment and complication management in craniomaxillofacial surgery.
-
3
AI applications in this field include preoperative risk assessment, intraoperative decision support, and postoperative outcome quantification.
-
4
Current challenges in AI implementation include data quality, model interpretability, and the need for clinical integration.
-
5
Future directions for AI in perioperative care focus on multimodal, explainable, and generative AI for personalized management systems.
