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

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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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