Crossmark

Leveraging large, real‐world data through machine‐learning to increase efficiency in robotic‐assisted total knee arthroplasty

Crossref DOI link: https://doi.org/10.1007/s00167-023-07314-1

Published Online: 2023-01-18

Published Print: 2023-08

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

Authors

Witvoet, Sietske

de Massari, Daniele

Shi, Sarah

Chen, Antonia F. https://orcid.org/0000-0003-2040-8188
License Information

Version of Record valid from 2023-01-18

Text and Data Mining valid from 2023-01-18

Version of Record valid from 2023-01-18
More Information

Article History

Received: 17 September 2022

Accepted: 4 January 2023

First Online: 18 January 2023

Declarations

:

: SW, DM, SS—are all employees of Stryker, AFC is a consultant for Stryker.

: This is an observational study. The local IRB Committee has confirmed that no ethical approval is required.