This course explores the emerging frontier of AI-driven health, recovery, and decision-making in elite sport. Learners will discover how artificial intelligence integrates genomic data, hormonal profiles, biomarkers, wearables, mental health indicators, environmental data, and biomechanical inputs to build deeply personalised athlete-care systems. Drawing on leading research in precision medicine, immersive rehabilitation, smart stadium technology, and psychological monitoring, the course uncovers how AI is reshaping athlete health from prevention to recovery and long-term wellbeing.

AI and Health: Future Perspectives and Transformations
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AI and Health: Future Perspectives and Transformations
This course is part of AI Applied to Health and Injury Prevention Specialization

Instructor: Marisa Sáenz
Included with
Recommended experience
What you'll learn
Explore how AI powers personalized health, recovery, and mental-performance systems.
Understand AR/VR rehab, biomarkers, and smart-stadium injury detection.
Evaluate ethical and governance challenges of AI in athlete monitoring.
Skills you'll gain
- Emerging Technologies
- Augmented and Virtual Reality (AR/VR)
- Athletic Training
- Human Machine Interfaces
- Machine Learning
- Rehabilitation
- Injury Prevention
- Predictive Modeling
- Data Ethics
- Risk Management
- Artificial Intelligence
- Healthcare Ethics
- Exercise Science
- Health Technology
- Precision Medicine
- Responsible AI
- Health Systems
- Sports Medicine
- AI Personalization
- Real Time Data
Details to know

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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

Real Madrid Graduate School Universidad Europea
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