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March 14, 2026Journal of NeuroEngineering and Rehabilitation3 citationsOpen Access

AI-powered biomechanical modeling for ACL-reconstructed knees: predicting knee joint contact forces via computer vision and deep learning

TCTianxiao ChenZZZhifeng ZhouDXDatao Xu

Key Points

  • The aim is to develop a framework for predicting knee joint contact forces using AI techniques.
  • Developed an AI-powered biomechanical modeling framework
  • Utilized computer vision and deep learning for predictions
  • Focused on real-time monitoring of knee joint contact forces
  • Achieved high-precision predictions of knee joint contact forces
  • Facilitated a shift from static to dynamic monitoring
  • Indicated potential applications in sports medicine and rehabilitation engineering

Abstract

The developed framework successfully achieved high-precision prediction of KCFs. This technological breakthrough not only provides a real-time quantitative tool for rehabilitation monitoring in patients with ACLR, but also facilitates a paradigm shift from static laboratory analysis to dynamic real-time monitoring, with broad application prospects in sports medicine, rehabilitation engineering.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69b4faf0b39f7826a300b971https://doi.org/10.1186/s12984-026-01939-2
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