人工智能生成的马拉松训练计划:运动表现的可靠工具?
Gianluca Montaruli1, Pantelis Theodoros Nikolaidis2, Ghazi Racil3,4
1Le Club Gym, 29121 Piacenza, Italy.
British medical bulletin
|February 21, 2026
概括
人工智能在创建马拉松训练计划方面表现有前途,但在广泛使用之前,个性化和准确性需要改进. 进一步的研究对于验证人工智能驱动的耐力训练至关重要.
科学领域:
- 运动科学 运动科学 运动科学
- 人工智能在健身中的作用
背景情况:
- 马拉松跑步在全球范围内越来越受欢迎.
- 训练需要有节奏,体积和周期化的结构化计划.
- 人工智能在基于证据的马拉松训练规定的作用还不清楚.
研究的目的:
- 评估领先的人工智能模型生成基于证据的马拉松训练计划的能力.
- 将人工智能生成的计划与已建立的耐力训练原则进行比较.
主要方法:
- 一项描述性研究分析了八个领先的人工智能模型的输出.
- 人工智能模型被提示为初学者,中级和高级跑步者创建6个月的马拉松训练计划.
- 输出与同行评审的马拉松训练文献进行了定性评估.
主要成果:
- 大多数人工智能模型都识别了关键的训练元素,如里程进展,逐渐缩小和低强度聚焦.
- 在AI模型中观察到精度和完整性的显著差异.
- 一些AI计划缺乏细节,未能区分运动员水平,或提供不一致的节奏数据,特别是对于高级跑步者.
结论:
- 人工智能具有很强的潜力,可以产生符合当前原则的可访问,结构化的培训内容.
- 个性化的局限性和专业监督的需要需要进一步验证.
- 未来的研究应该专注于现实世界的结果,并将个人生理数据整合到AI培训计划中.
关键词:
人工智能的人工智能是人工智能.聊天机器人聊天机器人聊天机器人数字化培训数字化培训创新 创新 创新 创新 创新马拉松是一场比赛.跑步 跑步 跑步 跑步 跑步 跑步智能培训 智能培训是一项智能培训.更多相关视频
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