Risk factors for secondary meniscus tears can be accurately predicted through machine learning, creating a resource for patient education and intervention-Reference-Cited by-同舟云学术

Risk factors for secondary meniscus tears can be accurately predicted through machine learning, creating a resource for patient education and intervention

Published:2022-08-16 Issue:2 Volume:31 Page:518-529
ISSN:0942-2056
Container-title:Knee Surgery, Sports Traumatology, Arthroscopy
language:en
Short-container-title:Knee Surg Sports Traumatol Arthrosc

Author:

Jurgensmeier Kevin,Till Sara E.,Lu Yining,Arguello Alexandra M.,Stuart Michael J.,Saris Daniel B. F.,Camp Christopher L.,Krych Aaron J.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00167-022-07117-w.pdf

Reference37 articles.

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3. Beynnon BD, Fleming BC, Labovitch R, Parsons B (2002) Chronic anterior cruciate ligament deficiency is associated with increased anterior translation of the tibia during the transition from non-weightbearing to weightbearing. J Orthop Res 20:332–337

4. Bien N, Rajpurkar P, Ball RL, Irvin J, Park A, Jones E et al (2018) Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet. PLoS Med 15:e1002699

5. Brambilla L, Pulici L, Carimati G, Quaglia A, Prospero E, Bait C et al (2015) Prevalence of associated lesions in anterior cruciate ligament reconstruction: correlation with surgical timing and with patient age, sex, and body mass index. Am J Sports Med 43:2966–2973

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