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New Perspective of Oral and Maxillo-Facial Surgery

This special issue belongs to the section “Dentistry, Oral Surgery and Oral Medicine“.

Special Issue Information

Dear Colleagues,

Oral and maxillofacial surgery is undergoing a paradigm shift, driven by rapid advancements in artificial intelligence (AI), deep and machine learning, and next-generation surgical technologies. The integration of these innovations with minimally invasive procedures, CAD-CAM systems, 3D printing, and patient-specific custom-made surgical solutions is reshaping the field, enabling unprecedented precision, efficiency, and personalization in surgical planning and execution.

This Special Issue aims to showcase groundbreaking research and cutting-edge developments that are revolutionizing oral and maxillofacial surgery. Topics of interest include, but are not limited to:

  • AI-Driven Innovations:
    • Machine learning algorithms for automated diagnosis, risk assessment, and treatment planning
    • AI-powered predictive modeling for surgical outcomes and complications
    • Deep learning applications in medical imaging, including segmentation, classification, and anomaly detection
    • AI-assisted robotic surgery and real-time intraoperative decision support
  • Advanced Surgical Technologies and Digital Workflows:
    • CAD-CAM and in-house custom-made surgical solutions for patient-specific implants, prosthetics, and anatomical models
    • 3D printing applications for personalized bone grafts, soft tissue scaffolds, and surgical guides
    • Virtual surgical planning (VSP) and augmented reality (AR) in preoperative simulations and intraoperative navigation
    • Integration of computational biomechanics and digital twin technology for precision surgery
  • Minimally Invasive and Regenerative Approaches:
    • Robotics and endoscopic techniques for less invasive interventions
    • AI-optimized strategies for accelerating tissue healing and regeneration
    • Bioengineered scaffolds and tissue-engineered constructs enhanced by machine learning algorithms
    • Advanced biomaterials for improved osseointegration and functional restoration

This Special Issue encourages multidisciplinary collaborations between surgeons, bioengineers, data scientists, and computational researchers to bridge the gap between cutting-edge technology and clinical application. We welcome original research, systematic reviews, and clinical trials that focus on the translational impact of these innovations, aiming to redefine standards in patient care.

By bringing together global expertise, this Special Issue will serve as a platform for transformative advancements, fostering the next generation of precision-driven, AI-enhanced, and patient-centered surgical solutions.

Dr. Valentino Vellone
Dr. Umberto Committeri
Prof. Dr. Alessandra Lucchese
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 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly 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 2600 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

  • maxillofacial surgery
  • esthetic surgery
  • orthognatic surgery
  • TMJ disorders
  • TMJ surgery
  • dental implant surgery
  • 3D imaging
  • printing applications
  • tissue engineering
  • personalized treatment planning
  • artificial intelligence
  • squamous cell carcinoma
  • skin tumors
  • plastic and reconstructive surgery
  • head and neck surgery
  • ENT surgery

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J. Clin. Med. - ISSN 2077-0383