Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study.

Journal: Frontiers in public health
Published Date: Jul 19, 2022

Abstract

BACKGROUND: As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing amount of deep learning-based researches in orthopedics. This bibliometric analysis aimed to identify the hotspots of deep learning applications in orthopedics in recent years and infer future research trends.

Authors

  • Chengyao Feng
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Xiaowen Zhou
    Xiangya School of Medicine, Central South University, Changsha, China.
  • Hua Wang
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Yu He
    Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350116, China.
  • Zhihong Li
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Chao Tu
    Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

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