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Artificial Intelligence and Its Applications in Oral and Maxillofacial Pathology
1Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, Box 1194, New York, NY 10029, USA.
Dental Clinics of North America
|March 13, 2026
Summary
Artificial intelligence aids oral pathology in detecting lesions and classifying tumors. Challenges remain due to limited datasets and image variability in digital pathology.
Area of Science:
- Oral and Maxillofacial Pathology
- Digital Pathology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is emerging in oral and maxillofacial pathology.
- AI applications include lesion detection, tissue classification, and tumor prognostication.
Purpose of the Study:
- To highlight the nascent role and potential of AI in oral pathology.
- To identify challenges in comparing AI strategies for pathology tasks.
Main Methods:
- Review of current AI applications in oral and maxillofacial pathology.
- Discussion of challenges related to dataset availability and image preanalytical variance.
Main Results:
- AI shows promise in assisting pathologists with tasks like squamous cell carcinoma detection.
- Performance comparison of AI algorithms is hindered by a lack of standardized, public datasets.
Conclusions:
- AI has the potential to significantly assist oral and maxillofacial pathology.
- Addressing dataset limitations and image standardization is crucial for advancing AI in this field.
