Crossmark

Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty

Crossref DOI link: https://doi.org/10.1007/s00264-021-05175-2

Published Online: 2021-08-05

Published Print: 2021-09

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

Authors

Hernigou, Philippe https://orcid.org/0000-0002-8475-279X
Olejnik, Romain

Safar, Adonis

Martinov, Sagi

Hernigou, Jacques

Ferre, Bruno
License Information

Text and Data Mining valid from 2021-08-05

Version of Record valid from 2021-08-05
More Information

Article History

Received: 24 July 2021

Accepted: 28 July 2021

First Online: 5 August 2021

Declarations

:

: All procedures were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

: Informed consent was obtained from all individual participants included in the study.

: Informed consent was obtained from all individual participants included in the study.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below