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Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

Year: 2021

Type: editorial

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.

Source: Knee Surgery Sports Traumatology Arthroscopy

DOI: 10.1007/s00167-021-06741-2

Authors: R. Kyle Martin, Christophe Ley, Ayoosh Pareek, Andreas Groll, Thomas Tischer, Romain Seil

Institutions: University of Minnesota, Ghent University, Mayo Clinic, TU Dortmund University, Universitätsmedizin Rostock, Centre Hospitalier de Luxembourg, Luxembourg Institute of Health

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W3199664458

Cites: 21

Cited by: 82

Related to: 10