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Current trends and innovations in oral and maxillofacial surgery

  • Giovanni Salzano , Francesco Maffia ORCID logo EMAIL logo and Giovanni Dell’Aversana Orabona
Published/Copyright: May 22, 2025

Abstract

Objectives

This manuscript reviews advancements in oral and maxillofacial surgery, encompassing minimally invasive techniques, innovations in implant dentistry, regenerative medicine, innovations in temporomandibular joint, and novel methodologies in salivary gland surgery.

Methods

A comprehensive analysis of recent developments in the field is presented, focusing on the integration of new technologies and biological therapies. Emphasis is placed on minimally invasive procedures, virtual surgical planning with CAD/CAM and 3D printing, implant design and placement innovations, and regenerative approaches.

Results

Minimally invasive procedures, often employing endoscopic or robotic assistance, reduce surgical morbidity and accelerate patient recovery. Virtual surgical planning and 3D printing enhance pre-surgical accuracy. Innovations in implant design, surface modification, and guided surgery improve prosthetic outcomes. Regenerative medicine and tissue engineering, including the use of growth factors and stem cells, offer new options for tissue restoration. In temporomandibular joint disorders, these strategies aim to improve function and reduce reliance on arthroplasty. The use of superficial dermal substitutes in salivary gland surgery reduces complications such as Frey syndrome.

Conclusions

These advancements reflect a paradigm shift in oral and maxillofacial surgery, enhancing patient care and expanding the field’s potential through precision, biologically based therapies, and less invasive approaches


Corresponding author: Francesco Maffia, Department of Neurosciences, Maxillofacial Surgery Unit, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80138 Naples, Italy, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: Grammarly Software was used to perform grammar and spell check.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declare.

  7. Data availability: Not applicable.

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Received: 2025-03-06
Accepted: 2025-04-23
Published Online: 2025-05-22

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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