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Preoperatively predicting failure to achieve the minimum clinically important difference and substantial clinical benefit for total knee arthroplasty patients using machine learning

Crossref DOI link: https://doi.org/10.1186/s43019-025-00289-y

Published Online: 2025-09-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Park, Jaeyoung

Miley, Emilie N. https://orcid.org/0000-0001-9286-2115
Zhong, Xiang

Gray, Chancellor F.
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Text and Data Mining valid from 2025-09-10

Version of Record valid from 2025-09-10
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Article History

Received: 27 February 2025

Accepted: 20 August 2025

First Online: 10 September 2025

Declarations

:

: Ethics approval was obtained from the University of Florida Institutional Review Board (UF IRB no. IRB201901961). The requirement for written informed consent was waived owing to the retrospective nature of the study by the University of Florida Institutional Review Board. All procedures performed in this study were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments.

: Not applicable.

: Chancellor F. Gray is a consultant for Smith & Nephew Inc, and a committee member for the AAOS. The other authors declare that they have no competing interests.

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