Artificial Intelligence (AI) in Dental Clinical Practice

Dear Colleagues,

Background: Artificial intelligence (AI) has become increasingly integrated into various aspects of society, including healthcare. In dentistry, the adoption of AI technologies is gradually gaining recognition for their potential to enhance diagnostic accuracy, streamline clinical workflows, and support personalized treatment plans based on large-scale data analysis.

Aim and scope: This Special Issue aims to provide a scientific forum for exploring and critically evaluating the application of AI in dental clinical practice. We particularly emphasize evidence-based validation and the need to ensure transparency, reliability, and accuracy in AI-driven systems used for clinical examination, diagnosis, and treatment planning.

History: Although AI has already shown significant progress in general medicine—such as radiology and pathology—its implementation in dentistry remains in an early but rapidly evolving stage. The recent emergence of machine learning, deep learning, and advanced image-processing techniques has led to a dramatic increase in the number of AI tools, many of which still require robust clinical evaluation.

We encourage submissions that address both technological innovation and clinical relevance, particularly studies on automated diagnostic algorithms, AI-driven radiographic interpretation, and real-time clinical decision support. Contributions analyzing the ethical, legal, and social implications of using AI in dental settings are also highly welcome.

We welcome high-quality original research articles, comprehensive reviews, and detailed case studies that rigorously examine AI technologies across all dental specialties. Submissions should highlight the limitations of AI decision-making, the integrity and transparency of training datasets, and the essential role of clinician oversight in AI-assisted care.

Prof. Dr. Eiji Tanaka
Dr. Keiichiro Watanabe
Guest Editors

Manuscript Submission Information

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