JSAD ISSN 3139-4167
Review Article Open access

Artificial intelligence in oral pathology: Current applications, challenges, and future prospects

Sajda Khan Gajdhar , Syed Mukith Ur Rahaman , Shaiq Gajdhar

Pages 63-67 Published 16 July 2026 DOI 10.65929/JSAD.2026.1.2.006 Rights held by the authors
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Abstract

The field of Artificial Intelligence (AI) is revolutionizing the diagnostics industry and oral pathology is no exception. AI has been leveraged for disease diagnosis in the field of diagnostics and deep learning (DL) and machine learning (ML) algorithms have been employed for histopathological analysis, which has been automated. AI has also shown tremendous potential in diagnostics, with a particular emphasis on improving disease diagnosis, as well as in histopathology, where deep learning (DL) and machine learning (ML) algorithms have been utilized to automate the process. AI systems can classify oral lesions and grade dysplasia, analyze cytology slides, and correlate clinical and molecular data for individual patient treatment planning. Nevertheless, there are still hurdles, such as the lack of high-quality data, variability in staining and slide preparation procedures, a lack of interpretability and regulatory and ethics concerns. The aim of this review was to present the present situation of AI in oral pathology, its clinical applications, challenges and limitations, and future directions for research and clinical use.

Dates & metrics

Received
25 Feb 2026
Accepted
15 Apr 2026
Published
16 Jul 2026
121 views
142 downloads

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Keywords: Artificial intelligence Oral pathology Deep learning Machine learning Histopathology Oral cancer

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How to cite this article

Gajdhar SK, Rahaman SMU, Gajdhar S. Artificial intelligence in oral pathology: Current applications, challenges, and future prospects. J. Sci. Adv. Dent. 2026;1(2):63-67. doi:10.65929/JSAD.2026.1.2.006

RIS BibTeX EndNote

Gajdhar, S. K., Rahaman, S. M. U., & Gajdhar, S. (2026). Artificial intelligence in oral pathology: Current applications, challenges, and future prospects. Journal of Scientific Advances in Dentistry, 1(2), 63-67. https://doi.org/10.65929/JSAD.2026.1.2.006

RIS BibTeX EndNote

Sajda Khan Gajdhar, Syed Mukith Ur Rahaman, and Shaiq Gajdhar. "Artificial intelligence in oral pathology: Current applications, challenges, and future prospects." Journal of Scientific Advances in Dentistry, vol. 1, no. 2, 2026, pp. 63-67. https://doi.org/10.65929/JSAD.2026.1.2.006

RIS BibTeX EndNote

Sajda Khan Gajdhar, Syed Mukith Ur Rahaman, and Shaiq Gajdhar. "Artificial intelligence in oral pathology: Current applications, challenges, and future prospects." Journal of Scientific Advances in Dentistry 1, no. 2 (2026): 63-67. https://doi.org/10.65929/JSAD.2026.1.2.006

RIS BibTeX EndNote

Gajdhar, S. K., Rahaman, S. M. U., and Gajdhar, S. (2026) 'Artificial intelligence in oral pathology: Current applications, challenges, and future prospects', Journal of Scientific Advances in Dentistry, 1(2), pp. 63-67. https://doi.org/10.65929/JSAD.2026.1.2.006

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© 2026 the authors. Published by REVO Publication. This article is distributed under CC BY 4.0, which permits use and redistribution provided the original work is properly cited.