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

Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea
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