Literature DB >> 35444380

Machine Learning: the Future of Total Knee Replacement.

H Gene Dossett1.   

Abstract

Entities:  

Year:  2022        PMID： 35444380      PMCID： PMC9014939          DOI： 10.12788/fp.0224

Source DB:  PubMed          Journal:  Fed Pract        ISSN： 1078-4497


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  21 in total

1.  The role of pain and function in determining patient satisfaction after total knee replacement. Data from the National Joint Registry for England and Wales.

Authors:  P N Baker; J H van der Meulen; J Lewsey; P J Gregg
Journal:  J Bone Joint Surg Br       Date:  2007-07

Review 2.  Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions.

Authors:  J Matthew Helm; Andrew M Swiergosz; Heather S Haeberle; Jaret M Karnuta; Jonathan L Schaffer; Viktor E Krebs; Andrew I Spitzer; Prem N Ramkumar
Journal:  Curr Rev Musculoskelet Med       Date:  2020-02

3.  Do we need a gender-specific total knee replacement? A randomised controlled trial comparing a high-flex and a gender-specific posterior design.

Authors:  M G Thomsen; H Husted; J Bencke; D Curtis; G Holm; A Troelsen
Journal:  J Bone Joint Surg Br       Date:  2012-06

4.  A prospective randomized study of minimally invasive total knee arthroplasty compared with conventional surgery.

Authors:  N Wülker; J P Lambermont; L Sacchetti; J G Lazaró; J Nardi
Journal:  J Bone Joint Surg Am       Date:  2010-07-07       Impact factor: 5.284

Review 5.  Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.

Authors:  Thomas G Myers; Prem N Ramkumar; Benjamin F Ricciardi; Kenneth L Urish; Jens Kipper; Constantinos Ketonis
Journal:  J Bone Joint Surg Am       Date:  2020-05-06       Impact factor: 5.284

6.  Development of Machine Learning Algorithms to Predict Clinically Meaningful Improvement for the Patient-Reported Health State After Total Hip Arthroplasty.

Authors:  Kyle N Kunze; Aditya V Karhade; Alex J Sadauskas; Joseph H Schwab; Brett R Levine
Journal:  J Arthroplasty       Date:  2020-03-18       Impact factor: 4.757

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

Authors:  R Kyle Martin; Christophe Ley; Ayoosh Pareek; Andreas Groll; Thomas Tischer; Romain Seil
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-09-15       Impact factor: 4.114

Review 8.  Machine Learning in Orthopedics: A Literature Review.

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

9.  Artificial Intelligence for Adult Spinal Deformity.

Authors:  Rushikesh S Joshi; Alexander F Haddad; Darryl Lau; Christopher P Ames
Journal:  Neurospine       Date:  2019-12-31
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