Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review-Reference-Cited by-同舟云学术

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Letter to the Editor on: The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systematic Review

Published:2024-02 Issue:2 Volume:39 Page:e1
ISSN:0883-5403
Container-title:The Journal of Arthroplasty
language:en
Short-container-title:The Journal of Arthroplasty

Author:

Clement Nick D.^ORCID,Clement Rosie,Clement Abigail

Publisher

Elsevier BV

Reference5 articles.

1. The impact of machine learning on total joint arthroplasty patient outcomes: a systemic review;Karlin;J Arthroplasty,2022

2. Using neural networks to identify patients unlikely to achieve a reduction in bodily pain after total hip replacement surgery;Schwartz;Med Care,1997

3. Patient factors that matter in predicting hip arthroplasty outcomes: a machine-learning approach;Sniderman;J Arthroplasty,2021

4. Can machine learning methods produce accurate and easy-to-use preoperative prediction models of one-year improvements in pain and functioning after knee arthroplasty?;Harris;J Arthroplasty,2021

5. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist;Norgeot;Nat Med,2020

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