Can Artificial Intelligence Reliably and Accurately Measure Lower Limb Alignment: A Systematic Review and Meta-Analysis.

AI exhibits high reliability and accuracy in measuring key LLA angles, often outperforming manual techniques in both speed and consistency. It holds significant promise as a clinical tool, though challenges with less reliable angles warrant further refinement. Future studies should focus on standardizing landmark definitions and addressing implementation barriers to maximize AI's potential in orthopedic practice.

Authors

Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.22038/abjs.2025.84846.3864
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
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article

Can Artificial Intelligence Reliably and Accurately Measure Lower Limb Alignment: A Systematic Review and Meta-Analysis.

Amir Bisadi, Fateme Mansouri Rad, Nastaran Namazi, Mohammad Poursalehian et al.
PubMed
Muscle activation and electromyography studies
article

Can Artificial Intelligence Reliably and Accurately Measure Lower Limb Alignment: A Systematic Review and Meta-Analysis.

Amir Bisadi, Fateme Mansouri Rad, Nastaran Namazi, Mohammad Poursalehian, Joben Kianparsa, Ali Salmani, Yashar Khani, Mohammad Nouroozi, Iman Elahi Vahed
article en

Abstract

AI exhibits high reliability and accuracy in measuring key LLA angles, often outperforming manual techniques in both speed and consistency. It holds significant promise as a clinical tool, though challenges with less reliable angles warrant further refinement. Future studies should focus on standardizing landmark definitions and addressing implementation barriers to maximize AI's potential in orthopedic practice.

PubMedVol. 13(7)
Openalex Percentile: Top 81%
Muscle activation and electromyography studies
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Can Artificial Intelligence Reliably and Accurately Measure Lower Limb Alignment: A Systematic Review and Meta-Analysis. — Amir Bisadi, Fateme Mansouri Rad, et al. · PubMed (2025) | TGRS Research Map | TGRS