Generative Artificial Intelligence: Applications and Future Prospects in Dentistry

Generative artificial intelligence (GenAI) is rapidly advancing in healthcare and is poised to transform dentistry. Given its increasing adoption in clinical and educational contexts, a comprehensive review is needed to evaluate current progress and future directions. This narrative review investigates its applications, challenges, and prospects. 74 studies from 2020 to 2025 were analyzed, covering various branches of dental medicine. GenAI has shown promise in crown design, tooth alignment, radiographic diagnosis, and educational content generation, using generative adversarial networks, diffusion models, and large language models. However, limitations remain, including insufficient clinical validation, non-standardized datasets, fragmented workflows, and ethical concerns such as data privacy and transparency. Overall, GenAI represents a transformative technology with potential to enhance diagnosis, treatment planning, and education, but continued research and standardized protocols are essential for safe integration.

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Publication Details

Journal
International Dental Journal
Published
2025-11-20
DOI
https://doi.org/10.1016/j.identj.2025.108276
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Generative Artificial Intelligence: Applications and Future Prospects in Dentistry

Qicheng Lao, Xianju Xie, Chenlin Du, Zhiyuan Ma
1 citations
International Dental Journal
Artificial Intelligence in Healthcare and Education
0.65
article

Generative Artificial Intelligence: Applications and Future Prospects in Dentistry

Qicheng Lao, Xianju Xie, Chenlin Du, Zhiyuan Ma
article en
1 citations

Abstract

Generative artificial intelligence (GenAI) is rapidly advancing in healthcare and is poised to transform dentistry. Given its increasing adoption in clinical and educational contexts, a comprehensive review is needed to evaluate current progress and future directions. This narrative review investigates its applications, challenges, and prospects. 74 studies from 2020 to 2025 were analyzed, covering various branches of dental medicine. GenAI has shown promise in crown design, tooth alignment, radiographic diagnosis, and educational content generation, using generative adversarial networks, diffusion models, and large language models. However, limitations remain, including insufficient clinical validation, non-standardized datasets, fragmented workflows, and ethical concerns such as data privacy and transparency. Overall, GenAI represents a transformative technology with potential to enhance diagnosis, treatment planning, and education, but continued research and standardized protocols are essential for safe integration.

International Dental JournalVol. 76(1)
Beijing University of Posts and Telecommunications (CN), Capital Medical University (CN)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
0.65
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