Artificial intelligence and robotics in TKA surgery: promising options for improved outcomes?
Author:
Funder
Technische Universität München
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00167-022-07035-x.pdf
Reference13 articles.
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2. Hess S, Moser LB, Amsler F, Behrend H, Hirschmann MT (2019) Highly variable coronal tibial and femoral alignment in osteoarthritic knees: a systematic review. Knee Surg Sports Traumatol Arthrosc 27:1368–1377
3. Hess S, Moser LB, Robertson EL, Behrend H, Amsler F, Iordache E et al (2022) Osteoarthritic and non-osteoarthritic patients show comparable coronal knee joint line orientations in a cross-sectional study based on 3D reconstructed CT images. Knee Surg Sports Traumatol Arthrosc 30:407–418
4. Hinterwimmer F, Lazic I, Langer S, Suren C, Charitou F, Hirschmann MT et al (2022) Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty-specific data. Knee Surg Sports Traumatol Arthrosc. https://doi.org/10.1007/s00167-022-06957-w
5. Hinterwimmer F, Lazic I, Suren C, Hirschmann MT, Pohlig F, Rueckert D et al (2022) Machine learning in knee arthroplasty: specific data are key—a systematic review. Knee Surg Sports Traumatol Arthrosc 30:376–388
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