정형외과에서의 인공지능: 기본 원리, 현재 응용, 미래 전망

  • role: Contribute equally, First author同等贡献者, 第一作者
  • Affiliation:

    Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

Jian Song1,  
  • role: Contribute equally同等贡献者
  • Affiliation:

    Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

Guang-Chao Wang1,  
  • role: Contribute equally同等贡献者
  • Affiliation:

    Department of Orthopedics, Shanghai Zhongye Hospital, Shanghai 200941, China

Si-Cheng Wang2,  
  • Affiliation:

    Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

Chong-Ru He1,  
  • role: Corresponding author通信作者
  • Affiliation:

    Department of Orthopedics, Orthopedic Research Institution of Hebei Province, NHC Key Laboratory of Intelligent Orthopedic Equipment, The Third Hospital of Hebei Medical University, Shijiazhuang 050051, China

  • Email:yzzhang@hebmu.edu.cn
  • Introduction:* Ying-Ze Zhang yzzhang@hebmu.edu.cn
Ying-Ze Zhang3*,  
  • role: Corresponding author通信作者
  • Affiliation:

    Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

    Institute of Translational Medicine, Organoid Research Center, National Center for Translational Medicine (Shanghai), Shanghai University Branch, Shanghai 200444, China

  • Email:sirchenxiao@sjtu.edu.cn
  • Introduction:Xiao Chen sirchenxiao@sjtu.edu.cn
Xiao Chen14*,  
  • role: Corresponding author通信作者
  • Affiliation:

    Department of Orthopedics, Trauma Orthopedics Center, Institute of Musculoskeletal Injury and Translational Medicine of Organoids, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

    Institute of Translational Medicine, Organoid Research Center, National Center for Translational Medicine (Shanghai), Shanghai University Branch, Shanghai 200444, China

  • Email:drsujiacan@163.com
  • Introduction:Jia-Can Su drsujiacan@163.com
Jia-Can Su14*

추상적인

정형외과에서의 기존 진단 및 치료 접근법은 종종 시간이 많이 소요되며 진단 오류율이 높아 현재 상황을 개선하기 위한 보다 효율적인 도구의 긴급한 필요성을 강조합니다. 최근 인공지능(AI)이 정형외과 실무에 점점 더 통합되어 진단 및 치료 과정을 지원하는 데이터 기반 접근법을 제공하고 있습니다. AI 기술의 지속적인 발전과 정형외과 일상 업무에의 통합으로 AI 원리와 임상 적용에 대한 포괄적인 이해가 점점 더 중요해지고 있습니다. 이 리뷰는 AI의 핵심 개념과 역사적 진화를 요약하는 것으로 시작하여, 정형외과 임상 및 연구 적용을 위해 설계된 머신러닝과 딥러닝 프레임워크를 검토합니다. 이어서 영상 분석, 질병 진단, 수술 지원, 약물 개발, 재활 지원, 개인 맞춤 치료 등의 정형외과 내 다양한 AI 기반 응용 프로그램을 탐구합니다. 이러한 응용 프로그램은 연구자와 임상 의사들이 정형외과에서 AI의 현재 적용에 대해 더 깊이 이해하도록 돕는 것을 목표로 합니다. 또한 데이터 품질, 모델 일반화, 임상 검증 등 AI의 실질적인 이용에 영향을 미치는 주요 도전 과제와 한계점도 강조합니다. 마지막으로 AI 기술을 개선하고 이를 정형외과 치료에 안전하고 효과적으로 통합하기 위한 향후 가능 방향에 대해 논의합니다.

키워드

인공지능 (AI);정형외과;머신러닝 (ML);딥러닝 (DL);진단;치료

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