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Title:

Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data

Document type:
Zeitschriftenaufsatz
Author(s):
Hinterwimmer, Florian ; Lazic, Igor ; Langer, Severin ; Suren, Christian ; Charitou, Fiona ; Hirschmann, Michael T. ; Matziolis, Georg ; Seidl, Fritz ; Pohlig, Florian ; Rueckert, Daniel ; Burgkart, Rainer ; von Eisenhart-Rothe, Rüdiger
Keywords:
Knee ; Artificial intelligence ; Machine learning ; Knee surgery ; Total knee arthroplasty ; Knee arthroscopy ; Supervised learning ; Mathematical Sciences ; Medical and Health Sciences
Journal title:
Knee Surgery, Sports Traumatology, Arthroscopy
Year:
2022
Journal volume:
31
Journal issue:
4
Pages contribution:
1323-1333
Fulltext / DOI:
doi:10.1007/s00167-022-06957-w
Publisher:
Springer Berlin Heidelberg
E-ISSN:
0942-2056 ; 1433-7347
Date of publication:
08.04.2022
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