Possibilities and perspectives for the use of artificial intelligence in orthopaedic sports medicine

Jakub Oronowicz; Christophe Ley; Milena Pachowsky; Romain Seil; Thomas Tischer

doi:10.1016/j.orthtr.2022.12.002

Possibilities and perspectives for the use of artificial intelligence in orthopaedic sports medicine

Jakub Oronowicz^*, Christophe Ley, Milena Pachowsky, Romain Seil, Thomas Tischer

^*Corresponding author for this work

Human Motion, Orthopaedics, Sports Medicine and Digital Methods

Research output: Contribution to journal › Review article › peer-review

1 Citation (Scopus)

Abstract

In many scientific fields, the growth of knowledge is progressing extremely rapidly. However, this also requires new techniques to identify relevant data from the mass of evidence. Scientific evidence can help improve therapeutic decision-making as well as injury prevention and optimize return to sport activity. Artificial intelligence (AI) enables these processes to be significantly assisted. As these new concepts are known to very few orthopedic surgeons and sports physicians, this article will explain basic concepts of AI, clarify differences with classical statistics, and describe its potential applications in sports orthopedics.

Original language	English
Pages (from-to)	4-10
Number of pages	7
Journal	Sports Orthopaedics and Traumatology
Volume	39
Issue number	1
DOIs	https://doi.org/10.1016/j.orthtr.2022.12.002
Publication status	Published - Mar 2023

Keywords

Artificial intelligence
Machine learning
Sports medicine
Statistics

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10.1016/j.orthtr.2022.12.002

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abstract = "In many scientific fields, the growth of knowledge is progressing extremely rapidly. However, this also requires new techniques to identify relevant data from the mass of evidence. Scientific evidence can help improve therapeutic decision-making as well as injury prevention and optimize return to sport activity. Artificial intelligence (AI) enables these processes to be significantly assisted. As these new concepts are known to very few orthopedic surgeons and sports physicians, this article will explain basic concepts of AI, clarify differences with classical statistics, and describe its potential applications in sports orthopedics.",

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AU - Pachowsky, Milena

AU - Seil, Romain

AU - Tischer, Thomas

PY - 2023/3

Y1 - 2023/3

N2 - In many scientific fields, the growth of knowledge is progressing extremely rapidly. However, this also requires new techniques to identify relevant data from the mass of evidence. Scientific evidence can help improve therapeutic decision-making as well as injury prevention and optimize return to sport activity. Artificial intelligence (AI) enables these processes to be significantly assisted. As these new concepts are known to very few orthopedic surgeons and sports physicians, this article will explain basic concepts of AI, clarify differences with classical statistics, and describe its potential applications in sports orthopedics.

AB - In many scientific fields, the growth of knowledge is progressing extremely rapidly. However, this also requires new techniques to identify relevant data from the mass of evidence. Scientific evidence can help improve therapeutic decision-making as well as injury prevention and optimize return to sport activity. Artificial intelligence (AI) enables these processes to be significantly assisted. As these new concepts are known to very few orthopedic surgeons and sports physicians, this article will explain basic concepts of AI, clarify differences with classical statistics, and describe its potential applications in sports orthopedics.

KW - Artificial intelligence

KW - Machine learning

KW - Sports medicine

KW - Statistics

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Possibilities and perspectives for the use of artificial intelligence in orthopaedic sports medicine

Abstract

Keywords

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