Author

J. Jacquier-Bret

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Review Open access Oct 2026

Meta-analysis of AI posture recognition for work-related musculoskeletal disorders prevention in occupational activities: comparison between untransformed, logit and Freeman-Tukey transformed performance

The objective of this systematic review and meta-analysis was to evaluate the performance of artificial intelligence (AI) posture recognition systems in preventing the occurrence of work-related musculoskeletal disorders (WMSDs) across all occupational activities, following the PRISMA (Preferred Reporting Items for...

P. Gorce, J. Jacquier-Bret · Frontiers in Artificial Inte... · 0 citations

Review Open access Aug 2026

AI Posture Recognition Performance for Work-Related Musculoskeletal Disorders Prevention in Manufacturing: Comparison Between Logit and Freeman-Tukey Transformation in Meta-Analysis

High heterogeneity (I2 > 90%) and substantial inter-study variability were observed in all analyses, and a very low level of evidence was evidenced for all performance parameters, but the results should be interpreted with caution, particularly regarding the deployment of the systems in real-world settings.

J. Jacquier-Bret, P. Gorce · Theoretical and Applied Ergo... · 0 citations