AI and Advanced Imaging in Oral and Maxillofacial Diagnostics

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 March 2027 | Viewed by 2

Editors


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Guest Editor
Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
Interests: deep learning; artificial intelligence; magnetic resonance imaging; cone-beam computed tomography; ultrasonography; temporomandibular joint; diagnostic imaging; medical imaging; medical image analysis
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Guest Editor
Department of Dentomaxillofacial Radiology, Ankara University, Ankara, Turkey
Interests: radiology; dentomaxillofacial radiology; dentistry; head and neck imaging; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The integration of artificial intelligence and advanced imaging technologies is reshaping the landscape of oral and maxillofacial diagnosis. From cone-beam computed tomography (CBCT) and magnetic resonance imaging (MRI) to ultrasound and multi-detector CT, AI-driven tools are enabling clinicians to detect, segment, and classify pathologies with unprecedented speed and accuracy. Deep learning architectures, radiomics, and computer-aided detection systems are demonstrating strong performance across a wide spectrum of diagnostic tasks, including caries detection, periodontal bone loss assessment, periapical lesion identification, anatomical landmark localization, and implant planning.

This Special Issue aims to bring together research at the intersection of artificial intelligence and oral and maxillofacial imaging. It welcomes contributions that advance the clinical application of machine learning, deep learning, and radiomics in dental and maxillofacial radiology.

Original research articles, systematic reviews, and technical reports are welcome. Topics may include, but are not limited to, AI-assisted image segmentation, automated pathology detection, large language model applications in radiology, and AI-enhanced treatment planning.

We look forward to receiving your contributions.

Dr. Gürkan Ünsal
Prof. Dr. Kaan Orhan
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-anonymized 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.

Keywords

  • artificial intelligence
  • deep learning
  • oral and maxillofacial radiology
  • cone-beam computed tomography (CBCT)
  • computer-aided diagnosis
  • radiomics
  • dental imaging
  • AI-enhanced treatment planning
  • large language model applications in radiology
  • automated pathology detection

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Published Papers

This special issue is now open for submission.
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