Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence–generated marathon training programs: reliable tools in exercise prescription for athletic performance?
0
Zitationen
6
Autoren
2026
Jahr
Abstract
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.
Autoren
Institutionen
- Ospedaliera di Piacenza(IT)
- University of West Attica(GR)
- English Institute of Sport(GB)
- University of Gafsa(TN)
- Institut Supérieur des Études Technologiques de Gafsa(TN)
- Queen Mary University of London(GB)
- Keele University(GB)
- Sapienza University of Rome(IT)
- San Raffaele University of Rome(IT)
- University of Milan(IT)