Current AI Applications and Challenges in Oral Pathology

Authors

• Zaizhen Xu, University of the Pacific Arthur A. Dugoni School of Dentistry
• Alice Lin, University of the Pacific Arthur A. Dugoni School of DentistryFollow
• Xiaoyuan Han, University of the Pacific Arthur A. Dugoni School of DentistryFollow

Document Type

Article

Publication Title

Oral

Department

Biomedical Sciences

ISSN

26736373

Volume

5

Issue

1

DOI

10.3390/oral5010002

First Page

1

Last Page

9

Publication Date

1-6-2025

Abstract

Artificial intelligence (AI), particularly through machine learning (ML) and deep learning (DL) techniques such as convolutional neural networks (CNNs) and natural language processing (NLP), has shown remarkable promise in image analysis and clinical documentation in oral pathology. In order to explore the transformative potential of artificial intelligence (AI) in oral pathology, this review highlights key studies demonstrating current AI’s improvement in oral pathology, such as detecting oral diseases accurately and streamlining diagnostic processes. However, several limitations, such as data quality, generalizability, legal and ethical considerations, financial constraints, and the need for paradigm shifts in practice, are critically examined. Addressing these challenges through collaborative efforts, robust validation, and strategic integration can pave the way for AI to revolutionize oral pathology, ultimately improving patient outcomes and advancing the field.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Xu, Zaizhen; Lin, Alice; and Han, Xiaoyuan, "Current AI Applications and Challenges in Oral Pathology" (2025). Pacific Faculty Work. 16.
https://scholarlycommons.pacific.edu/all-faculty/16