Literature DB >> 34528133

Artificial intelligence and machine learning: an introduction for orthopaedic surgeons.

R Kyle Martin1, Christophe Ley2, Ayoosh Pareek3, Andreas Groll4, Thomas Tischer5, Romain Seil6.   

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.
© 2021. European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA).

Entities:  

Keywords:  Artificial intelligence; Machine learning; Orthopaedic surgery; Sports medicine

Mesh:

Year:  2021        PMID: 34528133     DOI: 10.1007/s00167-021-06741-2

Source DB:  PubMed          Journal:  Knee Surg Sports Traumatol Arthrosc        ISSN: 0942-2056            Impact factor:   4.114


  17 in total

1.  Disseminating innovations in health care.

Authors:  Donald M Berwick
Journal:  JAMA       Date:  2003-04-16       Impact factor: 56.272

2.  The SIFK score: a validated predictive model for arthroplasty progression after subchondral insufficiency fractures of the knee.

Authors:  Ayoosh Pareek; Chad W Parkes; Christopher D Bernard; Matthew P Abdel; Daniel B F Saris; Aaron J Krych
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-11-20       Impact factor: 4.342

3.  How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature.

Authors:  Yun Liu; Po-Hsuan Cameron Chen; Jonathan Krause; Lily Peng
Journal:  JAMA       Date:  2019-11-12       Impact factor: 56.272

4.  Association Between Preoperative Mental Health and Clinically Meaningful Outcomes After Osteochondral Allograft for Cartilage Defects of the Knee: A Machine Learning Analysis.

Authors:  Prem N Ramkumar; Jaret M Karnuta; Heather S Haeberle; Kwadwo A Owusu-Akyaw; Tyler S Warner; Scott A Rodeo; Benedict U Nwachukwu; Riley J Williams
Journal:  Am J Sports Med       Date:  2021-02-08       Impact factor: 6.202

5.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

6.  Incidence and risk factors for symptomatic venous thromboembolism following anterior cruciate ligament reconstruction.

Authors:  Enrico M Forlenza; Kevin C Parvaresh; Matthew R Cohn; Ophelie Lavoie-Gagne; Zain M Khazi; Yining Lu; William Cregar; Brian Forsythe
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-05-10       Impact factor: 4.342

7.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

8.  2018 International Olympic Committee consensus statement on prevention, diagnosis and management of paediatric anterior cruciate ligament (ACL) injuries.

Authors:  Clare L Ardern; Guri Ranum Ekås; Hege Grindem; Håvard Moksnes; Allen F Anderson; Franck Chotel; Moises Cohen; Magnus Forssblad; Theodore J Ganley; Julian A Feller; Jón Karlsson; Minider S Kocher; Robert F LaPrade; Michael McNamee; Bert Mandelbaum; Lyle Micheli; Nicholas Mohtadi; Bruce Reider; Justin Roe; Romain Seil; Rainer Siebold; Holly J Silvers-Granelli; Torbjørn Soligard; Erik Witvrouw; Lars Engebretsen
Journal:  Br J Sports Med       Date:  2018-02-24       Impact factor: 13.800

Review 9.  Machine Learning in Orthopedics: A Literature Review.

Authors:  Federico Cabitza; Angela Locoro; Giuseppe Banfi
Journal:  Front Bioeng Biotechnol       Date:  2018-06-27
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  5 in total

1.  Time to focus on ACL revision: ESSKA 2022 consensus.

Authors:  Thomas Tischer; Vincenzo Condello; Jacques Menetrey; David Dejour; Philippe Beaufils; Roland Becker
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-03-19       Impact factor: 4.342

2.  Machine Learning: the Future of Total Knee Replacement.

Authors:  H Gene Dossett
Journal:  Fed Pract       Date:  2022-02-14

3.  Machine learning and conventional statistics: making sense of the differences.

Authors:  Christophe Ley; R Kyle Martin; Ayoosh Pareek; Andreas Groll; Romain Seil; Thomas Tischer
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-02-02       Impact factor: 4.342

4.  Pre-injury performance is most important for predicting the level of match participation after Achilles tendon ruptures in elite soccer players: a study using a machine learning classifier.

Authors:  Pedro Diniz; Mariana Abreu; Diogo Lacerda; António Martins; Hélder Pereira; Frederico Castelo Ferreira; Gino Mmj Kerkhoffs; Ana Fred
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-08-09       Impact factor: 4.114

5.  The German Arthroscopy Registry DART: what has happened after 5 years?

Authors:  Maximilian Hinz; Christoph Lutter; Ralf Mueller-Rath; Philipp Niemeyer; Oliver Miltner; Thomas Tischer
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2022-09-25       Impact factor: 4.114

  5 in total

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