Program Overview
Japan faces unique healthcare challenges with an aging population and high demand for medical services. This module examines how AI is being deployed in medical imaging, drug discovery, and patient care management.
Students will visit hospitals, research institutions, and pharmaceutical companies to understand both the technical capabilities and regulatory frameworks governing healthcare AI in Japan.
Key Learning Outcomes
- Understand AI applications in medical imaging and diagnosis
- Analyze drug discovery processes enhanced by machine learning
- Evaluate regulatory frameworks for medical AI
- Explore ethical considerations in healthcare AI
- Assess the impact of AI on patient care workflows
Industry Partners
- University Hospitals: Medical imaging AI demonstrations
- Pharmaceutical Companies: Drug discovery AI applications
- Regulatory Bodies: PMDA (Pharmaceuticals and Medical Devices Agency) sessions
- Research Institutes: Academic perspectives on healthcare AI
Daily Itinerary Sample
Day 1-2: Foundation
- Introduction to healthcare AI applications
- Medical imaging AI workshops
- Regulatory framework overview
Day 3-4: Clinical & Research
- Hospital visits and demonstrations
- Pharmaceutical company tours
- Research institute presentations
Day 5-6: Analysis
- Case study development
- Ethical framework discussions
- Student project work
Day 7: Synthesis
- Final presentations
- Industry feedback
- Closing sessions
Assessment
Students develop a research proposal for a healthcare AI application, addressing technical feasibility, regulatory requirements, and ethical considerations.
Prerequisites
Background in healthcare, biology, or computer science preferred. Interest in medical applications of AI required.
