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Artificial Intelligence in Sports Medicine: Could GPT-4 Make Human Doctors Obsolete?

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Abstract

Sports medicine, an essential branch of orthopedics, focuses on preserving, restoring, improving, and rebuilding the function of the human motor system. As a thriving interdisciplinary field, sports medicine attracts not only the interest of the orthopedic community, but also artificial intelligence (AI). In this study, our team summarized the potential applications of GPT-4 in sports medicine including diagnostic imaging, exercise prescription, medical supervision, surgery treatment, sports nutrition, and science research. In our opinion, it is impossible that GPT-4 could make sports physicians obsolete. Instead, it could become an indispensable scientific assistant for sport doctors in future.

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Acknowledgements

This study is supported by China Postdoctoral Science Foundation (2022M720385) and Beijing JST Research Funding (YGQ-202313).

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Author notes

  1. Kunming Cheng, Qiang Guo, and Yongbin He have contributed equally to this work.

Authors and Affiliations

  1. Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

    Kunming Cheng & Yanqiu Lu

  2. Department of Orthopedics, Baodi Clinical College of Tianjin Medical University, Tianjin, China

    Qiang Guo

  3. School of Sport Medicine and Rehabilitation, Beijing Sport University, Beijing, China

    Yongbin He

  4. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

    Yongbin He

  5. Department of Microsurgery, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, China

    Ruijie Xie

  6. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany

    Ruijie Xie

  7. Department of Orthopaedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, Beijing, China

    Cheng Li

  8. Center for Musculoskeletal Surgery (CMSC), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt University of Berlin, and Berlin Institute of Health, Berlin, Germany

    Cheng Li

  9. Department of Graduate School, Tianjin Medical University, Tianjin, China

    Haiyang Wu

  10. Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA

    Haiyang Wu

Authors
  1. Kunming Cheng
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  2. Qiang Guo
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  3. Yongbin He
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  4. Yanqiu Lu
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  5. Ruijie Xie
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  6. Cheng Li
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  7. Haiyang Wu
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Contributions

KC contributed to conceptualization, methodology, formal analysis, investigation, and writing—original draft; QG contributed to conceptualization, methodology, and investigation; YH contributed to conceptualization, methodology, formal analysis, resources, and writing—original draft; YL contributed to formal analysis and investigation; RX contributed to conceptualization, methodology, and data curation; CL contributed to conceptualization, methodology, data curation, formal analysis, resources, and investigation; HW contributed to conceptualization, methodology, formal analysis, resources, and investigation.

Corresponding authors

Correspondence to Ruijie Xie, Cheng Li or Haiyang Wu.

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Competing interests

The authors declare no conflict of interest.

Ethical Approval

This study does not include any individual-level data and thus does not require any ethical approval.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Cheng, K., Guo, Q., He, Y. et al. Artificial Intelligence in Sports Medicine: Could GPT-4 Make Human Doctors Obsolete?. Ann Biomed Eng 51, 1658–1662 (2023). https://doi.org/10.1007/s10439-023-03213-1

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  • DOI: https://doi.org/10.1007/s10439-023-03213-1

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