ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2025
Classifiers of anterior cruciate ligament status in female and male adolescents using return-to-activity criteria.
Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Artificial intelligence and machine learning in sports medicine: mapping clinical tasks and assessing clinical maturity - a scoping review.BMC medical informatics and decision making · 2026Article
- Older age, higher BMI, female sex and meniscal repair are predictors of inferior patient-reported outcomes 1 year after ACL reconstruction.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Testing ACL-Reconstructed Football Players on the Field: An Algorithm to Assess Cutting Biomechanics Injury Risk Through Wearable Sensors.Sports (Basel, Switzerland) · 2025Article
- Classifiers of anterior cruciate ligament status in female and male adolescents using return-to-activity criteria.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Article
- Machine Learning in Pediatric Healthcare: Current Trends, Challenges, and Future Directions.Journal of clinical medicine · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeA lack of standardization exists for functional tasks in return-to-activity (RTA) guidelines for adolescents with anterior cruciate ligament injury (ACLi). Identifying the variables that discern ACLi status among adolescents is a first step in the creation of such guidelines following surgical reconstruction. This study investigated the use of classification models to discern ACLi status of adolescents with and without injury using spatiotemporal variables from functional tasks typically used in RTA guidelines for adults.
methodsSixty-four adolescents with ACLi and 70 uninjured adolescents completed single-limb hops, lunges, squats, countermovement jumps and drop-vertical jumps. Jumping distances, heights, and depths were collected. Decision trees (DTs) were used to classify ACLi status and were evaluated using the F-measure (F
resultsA five-variable model classified ACLi status with an accuracy of 67.5% (F
conclusionsAmong the DT models, females were better able to classify ACLi status compared to males, highlighting the importance of sex-specific rehabilitation guidelines for adolescents. LEVEL OF EVIDENCE: Level III.
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