Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.

Journal: Journal of orthopaedic surgery and research
Published Date: Dec 1, 2022

Abstract

BACKGROUND: In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical method and restoring the patient's mobility. Recently, with the help of computers using artificial intelligence (AI) or machine learning (ML), diagnosis and classification of hip fractures can be performed easily and quickly. The purpose of this systematic review is to search for studies that diagnose and classify for hip fracture using AI or ML, organize the results of each study, analyze the usefulness of this technology and its future use value.

Authors

  • Yonghan Cha
    Department of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, South Korea.
  • Jung-Taek Kim
    Department of Orthopedic Surgery, Ajou University School of Medicine, Ajou Medical Center, Suwon, South Korea.
  • Chan-Ho Park
    Department of Orthopedic Surgery, Yonsei 100 Percent Hospital, Incheon, Korea.
  • Jin-Woo Kim
    Department of Orthopaedic Surgery, Nowon Eulji Medical Center, Seoul, South Korea.
  • Sang Yeob Lee
    Department of Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, South Korea.
  • Jun-Il Yoo
    Department of Orthopedic Surgery, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.

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