Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

被引：0
|
作者：
R. Kyle Martin
Christophe Ley
Ayoosh Pareek
Andreas Groll
Thomas Tischer
Romain Seil
机构：
[1] University of Minnesota,Department of Orthopedic Surgery
[2] Ghent University,Department of Applied Mathematics, Computer Science and Statistics
[3] Mayo Clinic,Department of Orthopaedic Surgery
[4] TU Dortmund University,Department of Statistics
[5] University Medicine Rostock,Department of Orthopaedic Surgery
[6] Centre Hospitalier Luxembourg and Luxembourg Institute of Health,Department of Orthopaedic Surgery
来源：
Knee Surgery, Sports Traumatology, Arthroscopy | 2022年 / 30卷
关键词：
Machine learning; Artificial intelligence; Orthopaedic surgery; Sports medicine;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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页码：361 / 364
页数：3
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