期刊
KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY
卷 30, 期 2, 页码 361-364出版社
SPRINGER
DOI: 10.1007/s00167-021-06741-2
关键词
Machine learning; Artificial intelligence; Orthopaedic surgery; Sports medicine
The application of artificial intelligence and machine learning in orthopaedic surgery is increasing rapidly, but the statistical jargon and techniques associated with AI may be unfamiliar to many clinicians. In order to bridge this knowledge gap and make these novel techniques more accessible to orthopaedic surgeons, we introduce the concepts of AI and machine learning and provide examples of their impact on clinical practice and patient care.
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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