Enhancing Craniomaxillofacial Surgeries with Artificial Intelligence Technologies.

Journal: Oral and maxillofacial surgery clinics of North America
Published Date:

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.

Authors

  • Wesley Do
    Department of Oral & Maxillofacial Surgery, Radboud UMC, Philips van Leydenlaan 25, 6525 EX Nijmegen, The Netherlands.
  • Niels van Nistelrooij
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Postal Number 590, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Stefaan BergĂ©
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
  • Shankeeth Vinayahalingam
    Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.