Reference : Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
Human health sciences : Orthopedics, rehabilitation & sports medicine
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
Ley, Christophe mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH) >]
Martin, R. Kyle [University of Minnesota > Department of Orthopedic Surgery]
Pareek, Ayoosh [Mayo Clinic > Department of Orthopaedic Surgery]
Groll, Andreas [TU Dortmund University > Department of Statistics]
Tischer, Thomas [University Medicine Rostock > Department of Orthopaedic Surgery]
Seil, Romain [Centre Hospitalier Luxembourg and Luxembourg Institute of Health > Department of Orthopaedic Surgery]
Knee Surgery, Sports Traumatology, Arthroscopy
Yes (verified by ORBilu)
[en] The application of artificial intelligence (AI) and machine learning to the field of orthopaedic surgery is rapidly increasing. While this represents an important step in the advancement of our specialty, the concept of AI is rich with statistical jargon and techniques unfamiliar to many clinicians. This knowledge gap may limit the impact and potential of these novel techniques. We aim to narrow this gap in a way that is accessible for all orthopaedic surgeons. With this manuscript, we introduce the concept of AI and machine learning and give examples of how it can impact clinical practice and patient care.

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