Application of machine learning in dentistry: insights, prospects and challenges.

Journal: Acta odontologica Scandinavica
PMID: 40145687

Abstract

BACKGROUND: Machine learning (ML) is transforming dentistry by setting new standards for precision and efficiency in clinical practice, while driving improvements in care delivery and quality.

Authors

  • Lin Wang
    Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
  • Yanyan Xu
    School of Information Science and Technology, Beijing Forestry University, No. 35 Qinghuadong Road, Haidian District, Beijing 100083, China.
  • Weiqian Wang
    Hangzhou Stomatology Hospital, Hangzhou, China. hzwwq@163.com.
  • Yuanyuan Lu
    Department of Radiology, Shanghai First Maternity and Infant Health Hospital, School of Medicine, Tongji University, Shanghai, China.

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