Students
May 20, 2026
Doctoral Program for the 2026/2027 Year
Information
Admission information for the Doctoral programs for the 2026/2027 year has been posted on the Graduate School of Medicine's entrance examination page. Please refer to the guidelines provided there. Our Department of Artificial Intelligence (officially: Department of Artificial Intelligence, Division of Urban Medicine) is also accepting applications. We warmly invite you to join us in researching medical AI. If you have something which is unclear about the programs or guidelines for our department, do not hesitate to contact us (student@med-ai.ac) anything.
Vision
"Implementing Global Health"
- Development and integration of medical AI
- Contribute to planetary health
- Achieve fairness in medical AI
Research Areas
Major Research Fields
Development of Medical AI Systems
- Clinical research for advanced diagnostics
- Basic research to uncover unknown correlations
Planetary Health
- Utilization of satellite data
- Clarifying connections between the environment and health
AI and Fairness
- Quantifying fairness in AI algorithms
- Reducing bias in AI
Ideal Candidate Profile
Qualities we value
- High motivation for academic pursuit
- Enthusiasm for creating new value
- Ability to think independently and make improvements
Doctoral Program
- Specialty in either a medical or engineering field
- Expertise in a research area
- Motivation to engage in international research
Laboratory Characteristics
Goal: Doctoral Program
- Publication as first author in English-language, peer-reviewed journals with an impact factor of about 10.
Research Style
- Weekly individual meetings and group meetings
- Environment that emphasizes independence
- One day per week dedicated to clinical work or skill development, based on individual circumstances
- Otherwise, flexible research hours
Practical Research Approach
- Comprehensive experience from data collection to analysis
- Research aimed at implementation in actual medical settings
- Opportunities for international collaborative research
Laboratory Values
- Self-directed learning and research
- Tackling challenging problems
- Knowledge sharing across the team
- Research promotion with an international perspective
Research Environment
- Latest computing infrastructure
- Access to real data from multiple institutions
- Over 3 million diverse data records
- Abundant research themes
- International research network
Recruitment Information and Application
Application Requirements
- Meet the university's admission standards
- Strong motivation for research
- Self-directed learning attitude
Application and Inquiry
Thank you all for the many applications. Due to the number of applications exceeding our expectations, our interview slots are completely booked, and we have stopped accepting new applications.
*Note: An interview prior to application is mandatory according to university regulations. Please request an interview through the form above. You will receive a reply email from our laboratory within a few days, so please prepare your resume in advance.
Message
I am Dr. Ueda, the head of the Department of Artificial Intelligence in Medicine.
We are looking for colleagues who share our vision of "Implementing Global Health."
Our laboratory focuses on developing medical AI systems, conducting planetary health research using satellite data, and studying AI fairness.
We engage in a wide range of research, from developing medical AI systems to clarifying the relationship between environment and health.
For the Doctoral program, we also value expertise and motivation for international research. In our laboratory, you can develop various skills while advancing your research with one-on-one support.
You can engage in practical research utilizing over 3 million real-world data records and the latest research environments.
There are also numerous opportunities for international collaborative research.
Would you like to join us in tackling global health challenges? If you are interested, please contact us through the inquiry form. We look forward to tackling the most challenging and rewarding research topics together with you.