CASE REPORT article
Front. Oral Health
Sec. Oral and Maxillofacial Surgery
Volume 6 - 2025 | doi: 10.3389/froh.2025.1661873
This article is part of the Research TopicArtificial Intelligence in Oral and Maxillofacial SurgeryView all articles
Thank you for your suggestion. We have revised the title of the manuscript to "Robot-Assisted Autotransplantation of Third Molars in the Maxilla: A Report of Two Cases" as recommended
Provisionally accepted
Yunkun Liu
Jia SongXiaoyu ChenChuyang ZhangYong YangDan Liu
Haolin ZhouBingling WuJian Zhang*Zhiyu Gu*- Zunyi Medical University Dental Hospital, Zunyi, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Autotransplantation of teeth has attracted increasing attention due to its excellent biocompatibility and ability to preserve natural dentition. However, conventional autotransplantation of tooth techniques are highly technique-sensitive and reliant on clinician experience, limiting their predictability and broader clinical application. With the advancement of digital dentistry and surgical robotics, robot-assisted autotransplantation of teeth offers a new approach that enhances precision and consistency. In these two reports, digital intraoral scans and cone-beam computed tomography data were processed through AI-assisted segmentation, surgical path planning, and 3D printing technologies. Prior to robotic surgery, surgical guides were installed in the patient’s oral cavity to perform calibration and ensure accurate alignment. During the procedure, an autonomous surgical robot was employed to prepare the recipient sites in the upper first molar regions. Following socket preparation, tooth replicas were used to simulate the transplantation process, allowing confirmation of fit and orientation before proceeding with the actual implantation. The transplantation of upper third molars was performed following a standardized digital protocol, involving one-time root canal treatment, 3 mm apicoectomy, and retrograde filling immediately after extraction. The treated teeth were then implanted into fresh extraction socket within the optimal time window, with the total duration from endodontic treatment to implantation not exceeding 15 minutes. The cases were followed up for three and six months, respectively, postoperative follow-ups showed favorable outcomes, including stable fixation, healthy surrounding soft tissues, and progressive bone healing as confirmed by radiographic imaging. These findings suggest that the integration of AI-based planning and robotic assistance significantly improves the predictability and clinical outcomes of autotransplantation of teeth, supporting its potential as a standardized and intelligent solution in modern dental surgery.
Keywords: dental autotransplantation, artificial intelligence, Autonomous Robotic Surgery, 3D printing, tooth replica, Oral surgery
Received: 08 Jul 2025; Accepted: 01 Sep 2025.
Copyright: © 2025 Liu, Song, Chen, Zhang, Yang, Liu, Zhou, Wu, Zhang and Gu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jian Zhang, Zunyi Medical University Dental Hospital, Zunyi, China
Zhiyu Gu, Zunyi Medical University Dental Hospital, Zunyi, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.