ReviewFrontiers in surgery2026
AI-driven perioperative risk stratification and complication management in craniomaxillofacial surgery: current progress and future directions.
Review in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Craniomaxillofacial surgery is characterized by complex anatomy, high surgical risks, and diverse perioperative complications. Conventional perioperative management relies heavily on surgeons' subjective experience and lacks standardized, quantifiable risk stratification tools. Artificial intelligence provides a promising strategy for precise and intelligent perioperative care in craniomaxillofacial surgery. This review summarizes recent advances in AI applications for perioperative risk stratification and complication management, focusing on three core domains: preoperative risk assessment and optimization, intraoperative decision support and safety monitoring, and postoperative risk stratification and outcome quantification. Key challenges are discussed regarding data quality and generalizability, model interpretability and clinical trust, and clinical translation and implementation. Future directions are proposed for multimodal AI, explainable AI, and generative AI to establish personalized perioperative management systems. This review aims to provide a structured reference for the intelligent development of perioperative care in craniomaxillofacial surgery.
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Registered trials
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