A practical guide to the implementation of artificial intelligence in orthopaedic research—Part 3: How orthopaedic research benefits from the implementation of artificial intelligence
Review article, 2025
Artificial intelligence (AI) encompasses the development of systems that can perform human-like tasks, such as treatment guidance, decision-making, pattern recognition and understanding language. Within AI, machine learning and deep learning play pivotal roles in diagnosis and outcome prediction, while natural language processing aids in synthesising large datasets from the electronic medical record. In orthopaedics, AI has demonstrated success in various areas, including image evaluation, surgical planning, outcome prediction, cohort identification and administrative tasks. The purpose of this manuscript was to provide an overview of the benefits of AI implementation within the field of orthopaedics. An additional goal was to address the challenges associated with producing high quality AI-based research in a rapidly developing field. Level of Evidence: Level IV.
orthopaedics
research methods
machine learning
artificial intelligence
sports medicine
Author
James Pruneski
Tripler Army Medical Center
Ayoosh Pareek
Hospital for Special Surgery
Bálint Zsidai
Sahlgrenska University Hospital
University of Gothenburg
Skåne University Hospital
Jacob F. Oeding
University of Gothenburg
Mayo Clinic
Jonathan D. Hughes
University of Pittsburgh
Felix C. Oettl
University of Zürich
Philipp W. Winkler
Johannes Kepler University of Linz (JKU)
Thomas Tischer
Malteser Waldkrankenhaus Erlangen
University of Rostock
Elmar Herbst
University Hospital Muenster
Alberto Grassi
IRCCS Istituto Ortopedico Rizzoli, Bologna
Michael T. Hirschmann
University of Basel
Canton Hospital Basel-Land
Christophe Ley
University of Luxembourg
Yinan Yu
Chalmers, Computer Science and Engineering (Chalmers), Functional Programming
University of Gothenburg
Kristian Samuelsson
Sahlgrenska University Hospital
University of Gothenburg
Journal of Experimental Orthopaedics
2197-1153 (eISSN)
Vol. 12 4 e70481Subject Categories (SSIF 2025)
Orthopaedics
DOI
10.1002/jeo2.70481
PubMed
41180563