Artificial Intelligence in Oral and Maxillofacial Surgery

Artificial Intelligence (AI) is emerging as a potentially transformative technology in the field of oral and maxillofacial surgery. This area of research is gaining momentum due to the increasing demand for personalized treatment strategies and the need to optimize surgical outcomes. Current challenges in maxillofacial surgery include the precision of diagnosis, treatment planning, and patient care, which can be significantly enhanced through AI-driven solutions. Recent studies have demonstrated the potential of AI in various applications such as image analysis, 3D reconstruction, surgical navigation, and predictive modeling. However, despite these advancements, there remain significant gaps in the comprehensive integration of AI technologies into clinical practice. Ongoing debates focus on the reliability, ethical implications, and data security challenges associated with AI utilization. There is a pressing need for more in-depth investigations to address these issues and to establish best practices for the effective employment of AI in maxillofacial surgery.

This research topic aims to provide a comprehensive overview of the evolving landscape of AI applications in maxillofacial surgery. Our primary goal is to showcase the latest advancements, best practices, and potential challenges in this interdisciplinary domain. We seek to foster a deeper understanding of how AI can be effectively employed to enhance the precision of diagnosis, treatment planning, and patient care. Specific questions to be addressed include the efficacy of AI-driven image analysis for diagnosis, the accuracy of predictive modeling for surgical outcomes, and the practical implementation of real-time surgical navigation systems.

To gather further insights into the integration of AI in maxillofacial surgery, we welcome articles addressing, but not limited to, the following themes:
- AI-driven image analysis for diagnosis and treatment planning
- Predictive modeling for surgical outcomes
- Patient-specific anatomical modeling
- Computer-aided design and manufacturing (CAD/CAM) for personalized implant design
- Real-time surgical navigation and intraoperative decision support systems
- Ethical implications and data security challenges of AI utilization
- Case studies illustrating successful AI applications in clinical practice
- Reviews of current AI technologies and their potential future developments

By exploring these themes, we aim to provide practical insights and guidance for clinicians, researchers, and experts across multiple disciplines in the dynamic field of maxillofacial surgery.