Machine learning in dentistry and oral surgery: charting the course with bibliometric insights.

Journal: Head & face medicine
Published Date:

Abstract

BACKGROUND: We aimed to comprehensively analyze the application of machine learning (ML) in dentistry and oral surgery using bibliometric methods to identify research trends, hotspots, and future directions.

Authors

  • Shuangwei Liu
    Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, China.
  • Yuquan Hao
    Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, China.
  • Shijie Zhu
    Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, China.
  • Liyao Wan
    Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, China.
  • Zhe Yi
    Department of Hand Surgery, Beijing JiShuiTan Hospital, The Fourth Clinical College of Peking University, Beijing, China.
  • Zhichang Zhang
    College of Computer Science and Engineering,Northwest Normal University, 967 Anning East Road, Lanzhou, 730070, China. zhichangzhang@qq.com.