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
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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
- Responsible AI
- Health Systems
- Athletic Training
- Predictive Modeling
- Machine Learning
- Augmented and Virtual Reality (AR/VR)
- Sports Medicine
- Risk Management
- AI Personalization
- Injury Prevention
- Rehabilitation
- Emerging Technologies
- Human Machine Interfaces
- Healthcare Ethics
- Health Technology
- Real Time Data
- Data Ethics
- Precision Medicine
- Exercise Science
- Artificial Intelligence
Details to know
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Recently updated!
December 2025
Assessments
8 assignments
Taught in English
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This course is part of the AI Applied to Health and Injury Prevention Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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