| Literature DB >> 35106604 |
Christophe Ley1, R Kyle Martin2, Ayoosh Pareek3, Andreas Groll4, Romain Seil5, Thomas Tischer6.
Abstract
The application of machine learning (ML) to the field of orthopaedic surgery is rapidly increasing, but many surgeons remain unfamiliar with the nuances of this novel technique. With this editorial, we address a fundamental topic-the differences between ML techniques and traditional statistics. By doing so, we aim to further familiarize the reader with the new opportunities available thanks to the ML approach.Entities:
Keywords: Artificial intelligence; Machine learning; Orthopaedic surgery; Sports medicine; Statistics
Mesh:
Year: 2022 PMID: 35106604 DOI: 10.1007/s00167-022-06896-6
Source DB: PubMed Journal: Knee Surg Sports Traumatol Arthrosc ISSN: 0942-2056 Impact factor: 4.342