A new neural network model that detects graft ruptures and contralateral anterior cruciate ligament injuries
Shintaro Usami,
Yuka Kimura,
Masashi Matsuzaka
et al.
Abstract:PurposeThe purpose of this study was to develop a neural network model for predicting second anterior cruciate ligament (ACL) injury risk following ACL reconstruction using patient features from medical records.MethodsOf 486 consecutive patients who underwent primary unilateral ACL reconstruction, 386 patients (198 women, 188 men) with a mean age of 25.1 ± 11.6 years were included in this study. Fifty‐eight features, including demographic data, surgical, preoperative and postoperative data, were retrospectivel… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.