New Trends and Advances in Oral and Maxillofacial Surgery
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Dentistry and Oral Health".
Deadline for manuscript submissions: 1 December 2025 | Viewed by 932
Special Issue Editors
Interests: orthognathic surgery; 3D technologies; regenerative medicine; virtual surgical planning; machine learning; virtual reality; augmented reality; minimally invasive surgery; guided surgery; robotic surgery
Interests: oral and maxillofacial surgery; medical device design; 3D printing and rapid prototyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Maxillofacial surgery has had significant advancements in recent years thanks to the introduction of artificial intelligence (AI), deep and machine learning systems, and virtual reality (VR) and augmented reality (AR), which have allowed for progress in the diagnosis of pathologies, as well as in pre-operative planning and surgical techniques.
The integration of these innovations with endoscopic-assisted and robotic-assisted surgery, minimally invasive procedures, 3D printing, CAD-CAM systems, and patient-specific implants enable the performance of increasingly tailored and personalized surgery on patients, guaranteeing accuracy, safety, and effectiveness.
This Special Issue aims to collect the most recent research in this field, focusing on the following topics:
- Virtual reality (VR) and augmented reality (AR) in traumatology, oncology, orthognathic, and TMJ surgery;
- Endoscopic-assisted and robotic-assisted surgery;
- Digital Workflows: CAD-CAM technologies and in-house manufacturing of custom-made solutions for patient-specific implants and surgical cutting guides; 3D printing applications; prosthetics rehabilitation;
- Regenerative medicine, fat and bone grafting, advanced biomaterials for osseointegration and reconstructive surgery;
- Radiomics feature and machine learning to improve strategies of diagnosis, prognosis, and treatment planning
- Minimally invasive approaches: exploration of new tools and techniques that reduce patient morbidity and recovery time;
- Telemedicine and digital twins.
All authors conducting research on the above-mentioned topics are invited to publish their work in this Special Issue, which is aimed at enhance the collaboration between surgeons and other professional figures, including engineers, radiologists, and biologists.
Original research, systematic reviews, and clinical trials that focus on the effectiveness and the accuracy of these tools in patient care pathways are welcome.
Dr. Stefania Troise
Dr. Alessandro Tel
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Medicina is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- orthognathic surgery
- 3D technologies
- regenerative medicine
- virtual surgical planning
- machine learning
- virtual reality
- augmented reality
- minimally invasive surgery
- guided surgery
- robotic surgery
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