Author

V. Farrahi

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Aug 2026

Deep learning approaches to predict femoral neck T-score and osteopenia/osteoporosis status from wrist accelerometry data.

The feasibility of GAF-CNN modeling of accelerometry-derived activity patterns for bone-health research is supported, while emphasizing the exploratory nature of the approach and the need for further validation.

H. Sánchez-Trigo, V. Farrahi, Hugo Gamboa et al. · Proceedings of the Instituti... · 0 citations