Article (Scientific journals)
Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie
Oronowicz, Jakub; LEY, Christophe; Pachowsky, Milena et al.
2023In Sport-Orthopädie - Sport-Traumatologie , 39 (1), p. 4 - 10
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Keywords :
Artificial intelligence; Machine learning; Sports medicine; Statistics; Physical Therapy, Sports Therapy and Rehabilitation; Orthopedics and Sports Medicine
Abstract :
[en] 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.
Disciplines :
Mathematics
Orthopedics, rehabilitation & sports medicine
Author, co-author :
Oronowicz, Jakub;  Klinik für Orthopädie und Unfallchirurgie, Erlangen, Germany
LEY, Christophe ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
Pachowsky, Milena;  Klinik für Orthopädie und Unfallchirurgie, Erlangen, Germany ; Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
Seil, Romain;  Department of Orthopaedic Surgery, Centre Hospitalier, Luxembourg ; Luxembourg Institute of Health, Luxembourg
Tischer, Thomas;  Klinik für Orthopädie und Unfallchirurgie, Erlangen, Germany ; Klinik und Poliklinik für Orthopädie, Universitätsmedizin Rostock, Germany
External co-authors :
yes
Language :
German
Title :
Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie
Publication date :
March 2023
Journal title :
Sport-Orthopädie - Sport-Traumatologie
ISSN :
0949-328X
eISSN :
1876-4339
Publisher :
Elsevier GmbH
Volume :
39
Issue :
1
Pages :
4 - 10
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 25 November 2023

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