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
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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
- Risk Management
- Health Technology
- Data Ethics
- Augmented and Virtual Reality (AR/VR)
- Human Machine Interfaces
- Exercise Science
- Precision Medicine
- Emerging Technologies
- Health Systems
- AI Personalization
- Predictive Modeling
- Machine Learning
- Artificial Intelligence
- Rehabilitation
- Real Time Data
- Athletic Training
- Sports Medicine
- Injury Prevention
- Healthcare Ethics
- Responsible AI
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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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