Diagnosis and Management in Oral and Maxillofacial Surgery

Dear Colleagues, 

The Special Issue titled “Diagnosis and Management in Oral and Maxillofacial Surgery” aims to highlight recent advancements in the diagnosis, evaluation, and management of conditions affecting the head and neck region. This collection aims to present innovative diagnostic methodologies, including artificial intelligence-assisted imaging, molecular diagnostics, and 3D visualization techniques, that enhance accuracy in detecting pathologies such as maxillofacial trauma, temporomandibular disorders, oral malignancies, and congenital disorders. Furthermore, this issue will cover innovative management strategies ranging from minimally invasive procedures to complex reconstructive techniques utilizing patient-specific implants, 3D printing, and virtual surgical planning. Emphasis will be placed on integrating interdisciplinary approaches, including regenerative medicine and advanced biomaterials, to optimize functional and esthetic outcomes.

By bringing together expertise from various subspecialties, this Special Issue aims to provide a comprehensive perspective on how modern diagnostics and tailored management strategies improve patient care in oral and maxillofacial surgery.

Dr. Dimitris Tatsis
Guest Editor

Dr. Alexandros Louizakis
Guest Editor Assistant

Manuscript Submission Information

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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. Diagnostics 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.