Digital Intelligence in Maxillofacial Trauma and Oncologic Reconstruction: Current Trends and Clinical Outcomes — A Narrative Review

DOI

10.2991/978-94-6239-654-8_12How to use a DOI?

Keywords

Artificial intelligence; Maxillofacial reconstruction; Trauma reconstruction; Virtual surgical planning

Abstract

Intelligent computing, involving artificial intelligence (AI), machine learning (ML), deep learning, augmented reality (AR), and virtual surgical planning (VSP) has been an increasingly disruptive force in the field of maxillofacial trauma and tumour-related reconstruction. These technologies improve diagnostic accuracy, optimize treatment planning, and facilitate precise intraoperative execution while also enabling personalized rehabilitation strategies. In trauma instances, AI-driven imaging interpretation allows quick fracture classification and postoperative prognoses prediction and digital workflows allow improved anatomical reconstruction and facial symmetry. In oncologic reconstruction, smart computing promotes tumour margin evaluation, individualized implant (PSI) formation, vascularized bone flap design, and postoperative function tracking. Moreover, next-generation navigation and robotic platforms enhance surgical accuracy while minimizing iatrogenic risk. Despite these successes, there remain challenges, such as high implementation costs, necessity of high quality of datasets, poor integration in resource-limited settings and unresolved ethical dilemmas as related to data privacy and clinical accountability. This article is a narrative review that intends to summarize recent intelligent computing algorithms deployed in maxillofacial trauma and tumour reconstruction, review available clinical evidence, and outline potential developments to advance available predictive and individualized patient care. Adapted to the demands of the new environment, intelligent surgical ecosystems show promise for increased functional, aesthetic, and quality-of-life outcomes in maxillofacial reconstructive disciplines.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Akilan Akilan
AU  - Arjun Arjun
AU  - Pradeepa Pradeepa
AU  - Harshini Harshini
AU  - Swarnapriya Swarnapriya
AU  - Vijay Ebenezer
PY  - 2026
DA  - 2026/04/24
TI  - Digital Intelligence in Maxillofacial Trauma and Oncologic Reconstruction: Current Trends and Clinical Outcomes — A Narrative Review
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 130
EP  - 139
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_12
DO  - 10.2991/978-94-6239-654-8_12
ID  - Akilan2026
ER  -