Effects of a ChatGPT-generated eccentric training programme on speed, change of direction, agility, and jumping performance in U14 tennis players: A non-randomised controlled study
) threshold across all tests, compared to the CG (18-63%). The present findings support the effectiveness and practicality of the ChatGPT-designed ET programmes for improving physical fitness in U14 tennis players.
Authors
- Adrian Markov (ORCID: https://orcid.org/0000-0002-1855-5552)
- Hélmi Chaabène (ORCID: https://orcid.org/0000-0001-7812-7931)
- Laura Capranica (ORCID: https://orcid.org/0000-0003-3073-7655)
- Senda Sammoud
- Patrick Müller
- Yassine Negra
- Raja Bouguezzi
Institutions
- Foro Italico University of Rome (IT)
- London Rebuilding Society (GB)
- University Hospital Magdeburg (DE)
- Institut Supérieur du Sport et de l’Éducation Physique de Sfax (TN)
- Manouba University (TN)
- Université de Caen Normandie (FR)
Publication Details
- Journal
- Journal of Sports Sciences
- Published
- 2026-04-07
- DOI
- https://doi.org/10.1080/02640414.2026.2653295
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00