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.
Disciplines :
Orthopedics, rehabilitation & sports medicine Mathematics
Author, co-author :
Martin, R. Kyle; University of Minnesota > Department of Orthopedic Surgery > PhD
LEY, Christophe ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)
Pareek, Ayoosh; Mayo Clinic, Rochester > Department of Orthopaedic Surgery > MD
Groll, Andreas; TU Dortmund University > Department of Statistics > PhD
Tischer, Thomas; University Medicine Rostock > Department of Orthopaedic Surgery > PhD
Seil, Romain; Centre Hospitalier Luxembourg and Luxembourg Institute of Health > Department of Orthopaedic Surgery > PhD
External co-authors :
yes
Language :
English
Title :
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
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