Artificial intelligence–generated marathon training programs: reliable tools in exercise prescription for athletic performance?
Future studies should evaluate the real-world outcomes of AI-generated programs in randomized trials including the integration of personal physiological data. Inizio moduloFine modulo.
Authors
- Pantelis Τ. Nikolaidis (ORCID: https://orcid.org/0000-0001-8030-7122)
- Gianluca Montaruli
- Gian Mario Migliaccio
- Johnny Padulo
- Ghazi Racil
- Nicola Maffulli
Institutions
- English Institute of Sport (GB)
- Queen Mary University of London (GB)
- University of Milan (IT)
- San Raffaele University of Rome (IT)
- University of Gafsa (TN)
- Institut Supérieur des Études Technologiques de Gafsa (TN)
- University of West Attica (GR)
- Ospedaliera di Piacenza (IT)
- Keele University (GB)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- British Medical Bulletin
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1093/bmb/ldag010
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00