Integrating AI into Dentistry: Technical Pathways and Clinical Applications in Oral Diseases–A Comprehensive Overview

The application of artificial intelligence (AI) technologies in the management of oral diseases is rapidly increasing, encompassing etiopathogenesis, disease course, diagnosis, treatment plans, and postoperative care. AI demonstrates exceptional performance in enhancing diagnostic accuracy and supporting clinical decision-making. This review provides a comprehensive overview of AI in dentistry, elucidating the neural network architectures and major implementation methods of AI. It focuses on specific application scenarios of AI-based models and evaluates their performance, and additionally highlights the limitations and promising future directions, providing insights to advance the clinical applications of AI in dentistry.

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Publication Details

Journal
International Dental Journal
Published
2026-01-14
DOI
https://doi.org/10.1016/j.identj.2025.109336
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating AI into Dentistry: Technical Pathways and Clinical Applications in Oral Diseases–A Comprehensive Overview

Hao Zhou, Ying Yuan, Bo Wang, Chengrun Li et al.
International Dental Journal
Dental Radiography and Imaging
article

Integrating AI into Dentistry: Technical Pathways and Clinical Applications in Oral Diseases–A Comprehensive Overview

Hao Zhou, Ying Yuan, Bo Wang, Chengrun Li, Zhimin Li
article en

Abstract

The application of artificial intelligence (AI) technologies in the management of oral diseases is rapidly increasing, encompassing etiopathogenesis, disease course, diagnosis, treatment plans, and postoperative care. AI demonstrates exceptional performance in enhancing diagnostic accuracy and supporting clinical decision-making. This review provides a comprehensive overview of AI in dentistry, elucidating the neural network architectures and major implementation methods of AI. It focuses on specific application scenarios of AI-based models and evaluates their performance, and additionally highlights the limitations and promising future directions, providing insights to advance the clinical applications of AI in dentistry.

International Dental JournalVol. 76(2)
China Medical University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Dental Radiography and Imaging
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