Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review

Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy performance: a systematic review

Abstract Background To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models. Methods Three...

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Bibliographic Details
Main Authors: Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Musculoskeletal Disorders
Subjects:
Machine learning
AI
Anterior cruciate ligament
Revision
Reoperation
Modeling
Online Access:https://doi.org/10.1186/s12891-024-08228-w
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https://doi.org/10.1186/s12891-024-08228-w

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