Artificial Intelligence in Diagnostic Oral and Maxillofacial Imaging, Surgical Applications, and Teledentistry
Clinical Snapshot
PICO Framework
| P — Population | Patients requiring oral and maxillofacial diagnosis, dental caries detection, periodontal assessment, and oral surgery |
| I — Intervention | Artificial intelligence technologies for diagnostic imaging, surgical planning, and teledentistry applications |
| C — Comparator | Traditional diagnostic methods and clinical assessment |
| O — Outcomes | Diagnostic accuracy, clinical utility, surgical outcomes, and teledentistry effectiveness |
Bottom Line
This narrative review examines AI applications across oral healthcare, from caries detection to surgical planning and teledentistry. While the topic is highly relevant to modern dental practice, the review's methodology and systematic approach cannot be fully assessed from the available abstract. The multi-institutional authorship suggests comprehensive expertise, but clinicians should seek additional systematic reviews and primary studies to inform evidence-based AI adoption decisions. The broad scope may limit depth of analysis for specific applications. Australian practitioners should verify TGA approval status and consider local implementation challenges before adopting AI diagnostic tools.
Key Findings
Effect Size: Not applicable for narrative review
Primary Outcome: Overview of AI applications in oral and maxillofacial healthcare
Nnt Or Sensitivity: Diagnostic accuracy metrics likely discussed but not available in abstract
Clinical Application
Implementation depends on technology access, training requirements, and regulatory approval Relevant to Australian dental practice, though TGA approval status of specific AI tools would need verification. May inform RACGP technology adoption guidelines and influence PBS considerations for AI-assisted diagnostics General dental practitioners, oral surgeons, and specialists considering AI implementation
Abstract
The article deals with the utilization of artificial intelligence (AI) and related technologies for the diagnosis of oral and maxillofacial anatomic variants and pathologic entities. The diagnosis of dental caries and periodontal disease is the most common aspect of dental diagnosis in a general dental setting and so, there was a subsection for this topic. There are dedicated portions within this article on applications of AI for oral and maxillofacial surgery.
References
- 1.Mupparapu, M., Panchal, N., Kim, I. H., Singer, S. R., & Pinto, A. (2026). Artificial intelligence in diagnostic oral and maxillofacial imaging, surgical applications, and teledentistry. Dental Clinics of North America, 70(2). https://doi.org/10.1016/j.cden.2025.11.013
Related Research
International dental journal
Deep Learning Based on Swin-Transformer and 3D U-Net: Implant Three-Dimensional Position Planning
2 Aug 2026
Journal of radiation research
A model-based selection of oral cancer patient for passive scattering proton beam therapy
26 July 2026
Head and neck pathology
A Deep Learning AI Model for Histopathological Diagnosis and Grading of Mucoepidermoid Carcinoma of Salivary Glands
22 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service