Next-Generation Concepts in Facial and Craniofacial Surgery: From Structural Precision to Predictive and Data-Driven Integration

Facial and craniofacial surgery is entering a new technological era in which structural modification is increasingly guided by predictive modeling, computational biomechanics, and data-driven analytics. Beyond conventional digital planning, contemporary research is exploring physics-based simulation of skeletal movement, advanced soft-tissue modeling, multimodal imaging integration, and artificial intelligence–assisted decision support systems. These developments are redefining how surgical strategies are conceptualized, executed, and evaluated.Skeletal repositioning, structural augmentation, and reconstructive procedures do not solely alter morphology. They modify biomechanical load distribution, airway configuration, neuromuscular dynamics, and tissue adaptation. Emerging computational approaches—including finite element modeling, dynamic airway simulation, and predictive outcome forecasting—enable quantitative assessment of structural–functional relationships that were previously inferred but not measured.Artificial intelligence and large-scale clinical data integration are further accelerating this evolution. Deep learning–based image analysis, automated landmark detection, generative predictive modeling, and longitudinal outcome clustering are beginning to move facial and craniofacial surgery from descriptive reconstruction toward predictive intervention. Multimodal datasets integrating imaging, surgical variables, functional assessments, and patient-reported outcomes provide new opportunities to identify complex structural–physiological interactions.Augmented reality–guided navigation, intraoperative data fusion, robotic-assisted precision techniques, and next-generation patient-specific implant systems represent additional frontiers under active investigation. These technologies aim not merely to increase precision, but to enhance reproducibility, risk stratification, and long-term outcome stability.Importantly, this technological evolution invites a broader perspective. Facial and craniofacial interventions influence airway mechanics, muscular adaptation, and tissue remodeling, and may intersect with sleep physiology and systemic inflammatory responses. Maxillomandibular advancement and related airway expansion procedures for obstructive sleep apnea exemplify how craniofacial skeletal repositioning can improve oxygenation, reduce cardiometabolic risk, and potentially influence long-term health and longevity. Understanding these multidimensional effects requires integrative frameworks that combine structural accuracy with functional and physiological evaluation.This Research Topic provides an interdisciplinary platform for contributions that examine facial and craniofacial surgery through predictive modeling, computational biomechanics, artificial intelligence, advanced navigation, and data-informed outcome analysis. We welcome prospective and retrospective clinical studies, translational research, AI-driven investigations, physics-based simulations, multimodal imaging analyses, robotic and navigation technologies, and longitudinal outcome assessments.By bringing together maxillofacial surgeons, plastic surgeons, otolaryngologists, sleep researchers, radiologists, biomedical engineers, data scientists, and translational investigators, this Research Topic aims to advance a forward-looking surgical paradigm: one that integrates structural precision, computational prediction, and systemic understanding within contemporary facial and craniofacial surgery. Topic editors: Martin Kauke-Navarro MD, Ali-Farid Safi Source: https://www.frontiersin.org/research-topics/78418/next-generation-concepts-in-facial-and-craniofacial-surgery-from-structural-precision-to-predictive-and-data-driven-integration