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Artificial intelligence enables reliable and standardized measurements of implant alignment in long leg radiographs with total knee arthroplasties

Crossref DOI link: https://doi.org/10.1007/s00167-022-07037-9

Published Online: 2022-07-11

Published Print: 2022-08

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

Authors

Schwarz, Gilbert M.

Simon, Sebastian

Mitterer, Jennyfer A.

Frank, Bernhard J. H.

Aichmair, Alexander

Dominkus, Martin

Hofstaetter, Jochen G. https://orcid.org/0000-0001-7741-7187
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Version of Record valid from 2022-07-11

Text and Data Mining valid from 2022-07-11

Version of Record valid from 2022-07-11
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Article History

Received: 22 March 2022

Accepted: 1 June 2022

First Online: 11 July 2022

Declarations

:

: We certify that we have not signed any agreement with commercial interest related to this study, which would in any way limit publication of any and all data generated for the study or to delay publication for any reason.

: This study was approved by the local ethics committee (No. 47/2020) and has been carried out in accordance with the ethical standards in the 1964 Declaration of Helsinki.

: Individual informed consent was waived.