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Chinese Journal of Stomatological Research(Electronic Edition) ›› 2026, Vol. 20 ›› Issue (01): 40-46. doi: 10.3877/cma.j.issn.1674-1366.2026.01.006

• Digital & Intelligent Dentistry Column·Reviews • Previous Articles    

Application of artificial intelligence image processing technology in stomatology

Siyi Lü1, Yanqi Wang1, Jun Qiu2, Yujiang Chen3, Jie Gao1,()   

  1. 1State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, Air Force Medical University, Xi'an 710032, China
    2State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Cariology and Endodontics, School of Stomatology, Air Force Medical University, Xi'an 710032, China
    3State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, Air Force Medical University, Xi'an 710032, China
  • Received:2025-12-16 Online:2026-02-01 Published:2026-02-24
  • Contact: Jie Gao
  • Supported by:
    New Clinical Technologies and Services of the Third Affiliated Hospital of Air Force Medical University(LX2022-401); National Clinical Research Center for Oral Diseases Project(LCB202202); Key Project of Shaanxi Province Key Research and Development Program(2024SF-GJHX-37)

Abstract:

In recent years, artificial intelligence (AI) image processing technology has matured and been widely applied in stomatology, significantly advancing the field. This article systematically reviews its research and application progress, covering fundamental theories, key technologies, and clinical practices. Based on explanations of technologies including deep learning and machine learning, it focuses on analyzing specific applications across various dental images and discusses future directions, potential value, and associated ethical and legal challenges. To achieve more extensive and reliable clinical applications, key issues remain to be addressed.

Key words: Artificial intelligence, Oral medicine, Image processing technology, Deep learning, Machine learning

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