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Artificial intelligence and machine learning: an introduction for orthopaedic surgeons.
Martin, R Kyle; Ley, Christophe; Pareek, Ayoosh; Groll, Andreas; Tischer, Thomas; Seil, Romain.
Afiliação
  • Martin RK; Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, USA. rkylemmartin@gmail.com.
  • Ley C; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
  • Pareek A; Department of Orthopaedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Groll A; Department of Statistics, TU Dortmund University, Dortmund, Germany.
  • Tischer T; Department of Orthopaedic Surgery, University Medicine Rostock, Rostock, Germany.
  • Seil R; Department of Orthopaedic Surgery, Centre Hospitalier Luxembourg and Luxembourg Institute of Health, Luxembourg, Luxembourg.
Knee Surg Sports Traumatol Arthrosc ; 30(2): 361-364, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34528133
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Cirurgiões Ortopédicos Limite: Humans Idioma: En Revista: Knee Surg Sports Traumatol Arthrosc Assunto da revista: MEDICINA ESPORTIVA / TRAUMATOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ortopedia / Cirurgiões Ortopédicos Limite: Humans Idioma: En Revista: Knee Surg Sports Traumatol Arthrosc Assunto da revista: MEDICINA ESPORTIVA / TRAUMATOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos