Enhancing Craniomaxillofacial Surgeries with Artificial Intelligence Technologies.
Authors
Do W,van Nistelrooij N,Bergé S,Vinayahalingam S
Affiliations (3)
Affiliations (3)
- Department of Oral & Maxillofacial Surgery, Radboud UMC, Philips van Leydenlaan 25, 6525 EX Nijmegen, The Netherlands.
- Department of Oral and Maxillofacial Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
- Department of Oral & Maxillofacial Surgery, Radboud UMC, Philips van Leydenlaan 25, 6525 EX Nijmegen, The Netherlands. Electronic address: [email protected].
Abstract
Artificial intelligence (AI) can be applied in multiple subspecialties in craniomaxillofacial (CMF) surgeries. This article overviews AI fundamentals focusing on classification, object detection, and segmentation-core tasks used in CMF applications. The article then explores the development and integration of AI in dentoalveolar surgery, implantology, traumatology, oncology, craniofacial surgery, and orthognathic and feminization surgery. It highlights AI-driven advancements in diagnosis, pre-operative planning, intra-operative assistance, post-operative management, and outcome prediction. Finally, the challenges in AI adoption are discussed, including data limitations, algorithm validation, and clinical integration.
Topics
Journal ArticleReview