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

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Authors: Ying Yuan, Hao Zhou, Bo Wang, Chengrun Li, Baijuan Gong, Zhimin Li
Cited by: 9
References: 139

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.

Fields of Study & Subjects

Dental Radiography and Imaging Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
International Dental Journal
Publisher
Elsevier BV
Volume
76
Issue
2
Pages
109336–109336
Publication date
14 January 2026
Language
EN