Artificial intelligence-generated marathon training programs: reliable tools in exercise prescription for athletic performance? - PubMed
a day ago
- #Exercise Prescription
- #Marathon Training
- #Artificial Intelligence
- Marathon running is a global phenomenon with increasing participation across various age and experience groups.
- Training for a marathon requires adherence to principles like pacing, training volume, and periodization.
- AI-generated marathon training programs were evaluated for reliability in exercise prescription.
- AI models like Claude 3.5, ChatGPT, Gemini, and DeepSeek were used to generate 6-month training plans for different athlete levels.
- Most AI systems correctly identified key training components such as weekly mileage progression, tapering, and intensity distribution.
- Variations in AI responses included omissions of key details, failure to differentiate athlete levels, and inconsistent pacing data.
- AI shows potential in providing accessible and structured training content but lacks personalization and professional oversight.
- Future research should focus on real-world outcomes of AI-generated programs and integration of physiological data.