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Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies - a comprehensive narrative review.

Afef Sédiri, Sabri Barbaria, Halil İbrahim Ceylan, Andrea de Giorgio, Luca Puce, Valentina Stefanica, Nicola Luigi Bragazzi, Ismail Dergaa, Hanene Boussi Rahmouni

BIOLOGY OF SPORT Cilt 43 · ss. 1271–1291 · 20.04.2026
DOI ile aç

Anahtar kelimeler

virtual reality deep learning artificial intelligence machine learning Biomechanics REHABILITATION Convolutional neural networks digital technology injury prevention sports medicine Big data analytics

Atıf için künye

Sédiri, A., Barbaria, S., Ceylan, H. İ., de Giorgio, A., Puce, L., Stefanica, V., Bragazzi, N. L., Dergaa, I., & Rahmouni, H. B. (2026). Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies - a comprehensive narrative review. BIOLOGY OF SPORT, 43, 1271–1291. https://doi.org/10.5114/biolsport.2026.161106

BibTeX 
@article{sediri2026-308246,
  author = {Sédiri, Afef and Barbaria, Sabri and Ceylan, Halil İbrahim and de Giorgio, Andrea and Puce, Luca and Stefanica, Valentina and Bragazzi, Nicola Luigi and Dergaa, Ismail and Rahmouni, Hanene Boussi},
  title = {Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies - a comprehensive narrative review.},
  journal = {BIOLOGY OF SPORT},
  year = {2026},
  volume = {43},
  pages = {1271--1291},
  issn = {0860-021X},
  doi = {10.5114/biolsport.2026.161106},
  url = {https://akademik.atauni.edu.tr/yayinlar/308246-digital-twins-in-sports-science-applications-for-performance-enhancement-injury}
}