Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

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

*Corresponding author for this work

Research output: Contribution to journalEditorial

31 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)361-364
Number of pages4
JournalKnee Surgery, Sports Traumatology, Arthroscopy
Volume30
Issue number2
Early online date15 Sept 2021
DOIs
Publication statusPublished - Feb 2022

Keywords

  • Artificial intelligence
  • Machine learning
  • Orthopaedic surgery
  • Sports medicine

Fingerprint

Dive into the research topics of 'Artificial intelligence and machine learning: an introduction for orthopaedic surgeons'. Together they form a unique fingerprint.

Cite this