Citations 2
Machine learning and conventional statistics: making sense of the differences
Ley, Christophe , Martin, R. Kyle , Pareek, Ayoosh , Tischer, Thomas , Groll, Andreas , Seil, Romain
Knee Surgery, Sports Traumatology, Arthroscopy | February 1, 2022 | Volume: 30 | Issue: 3 | Pages: 753-757
AbstractThe 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.
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
Martin, R. Kyle , Ley, Christophe , Pareek, Ayoosh , Groll, Andreas , Tischer, Thomas , Seil, Romain
Knee Surgery, Sports Traumatology, Arthroscopy | September 15, 2021 | Volume: 30 | Issue: 2 | Pages: 361-364
Abstract 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. Level of evidence VI.