This course introduces the scientific foundations of sports injury causation, workload modelling, and the emerging role of artificial intelligence in injury prevention. Learners will explore how injury mechanisms have evolved from simple monocausal views to multifactorial, dynamic, and systems-based approaches that reflect real athlete complexity. Through clear explanations and practical football examples, the course covers essential concepts such as intrinsic and extrinsic risk factors, the dynamic recursive model, the workload–injury relationship, and modern systems thinking used in elite performance environments.

Theoretical Bases of Health and Injury Management
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Theoretical Bases of Health and Injury Management
This course is part of AI Applied to Health and Injury Prevention Specialization

Instructor: Marisa Sáenz
Included with
Recommended experience
What you'll learn
Understand modern injury causation models and systems-based frameworks in elite sport.
Apply precise workload metrics to manage injury risk and player availability.
Explore how AI and ML predict injuries using multi-modal performance data.
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December 2025
8 assignments
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There are 4 modules in this course
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Instructor

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Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea

Niel Asher Education

Niel Asher Education
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