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.
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CITATION STYLE
Ley, C., Martin, R. K., Pareek, A., Groll, A., Seil, R., & Tischer, T. (2022, March 1). Machine learning and conventional statistics: making sense of the differences. Knee Surgery, Sports Traumatology, Arthroscopy. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s00167-022-06896-6
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