Imaging in Oral Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 39
Special Issue Editors
Interests: oral diseases
Special Issue Information
Dear Colleagues,
In recent decades, technological advances in the field of radiology as applied to dentistry have provided us with new and more precise diagnostic tools. The use of CBCT equipment in dental offices allows for generating key three-dimensional representations of the maxillofacial skeleton, without which lesion diagnoses are difficult to make and characterize.
New techniques in this area, together with the use of appropriate software, allow us to simulate treatment virtually. Such virtual techniques enable detailed treatment planning, leading to better and more predictable results.
Social networks also play an important role in dentistry. Promoting the exchange of experiences, treatments, and pathological images leads to knowledge-sharing and knowledge generation among professionals. This makes diagnosing complex pathologies easier. Detailed descriptions of various diagnostic algorithms for treating disorders occurring in the oral cavity are essential. All of this enables knowledge-sharing with colleagues in remote areas.
Finally, it is essential that we consider possibilities of applying AI in our field. As AI algorithms advance, we can expect improvements in the detection and diagnosis of oral pathologies, leading to improved early diagnosis of serious diseases such as oral cancer. AI will likely also help oral pathologists in the histological diagnosis of lesions in the oral cavity.
We encourage you to share your latest work and insights with us on these topics in this Special Issue.
Dr. Xavier Roselló-LLabres
Prof. Dr. José López López
Guest Editors
Manuscript Submission Information
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Keywords
- CBCT 3D maxillofacial imaging
- virtual diagnostic simulation
- social media pathology image sharing
- oral disease diagnostic algorithms
- AI-driven oral pathology detection
- dental radiographic caries analysis
- digital oral lesion segmentation
- cross-disciplinary imaging workflows
- tele-radiology collaboration platforms
- salivary gland scintigraphy applications
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