Research & Academic Collaboration
We believe medical AI earns trust through evidence. Dentou Mind works alongside universities and university hospitals to evaluate, adapt, and govern large language models for clinical and public-health practice.
Working with Osaka University’s medical AI research community
Dentou Mind maintains an active research collaboration with Professor Ryo Kawasaki — Vice Director of the Artificial Intelligence Center for Medical Research and Application at Osaka University Hospital, and Professor in the Division of Public Health, Department of Social Medicine, at Osaka University’s Graduate School of Medicine.
Professor Kawasaki’s work spans the epidemiology and prevention of chronic disease, multi-level public-health research, and the governance frameworks under which medical data and AI research are conducted. Our collaboration focuses on the responsible introduction of AI agents into clinical and public-health settings — evaluation methodology, real-world workflow fit, and governance approaches that institutional review processes can trust.
- Evaluation of AI agents for clinical and public-health workflows
- Governance frameworks for research use of medical data
- Exchange on private deployment patterns for university-hospital environments
Our research agenda with academic partners
Our joint research focuses on the questions that determine whether AI can be used responsibly in clinical environments — not on benchmark rankings alone.
Japanese clinical language evaluation
Methodologies for measuring how open-weight models understand and generate Japanese medical language — terminology, clinical narrative structure, and the safety implications of multilingual model behavior.
Agent safety in clinical workflows
Grounding, guardrails, and escalation patterns for AI agents operating near clinical decision-making — including how to keep outputs verifiable, reviewable, and firmly subordinate to professional judgment.
Governance frameworks for hospital AI
Review-ready frameworks covering consent, data access, audit, and accountability — informed by the governance practices of Japan's leading university-hospital AI research programs.
A team with a research record
Members of our founding team have contributed to international conferences in human–computer interaction and applied human factors, served in session- and track-organizing roles at international venues, and published peer-reviewed studies spanning clinical skill assessment, surgical gaze and technique analysis, nursing-care ergonomics, and the motion analysis of traditional craftsmanship.
This background — measuring how experts actually work — informs our engineering culture: we observe first, quantify carefully, and deploy only what institutions can govern.
Individual researchers and specific publications are intentionally not listed on this site; details are shared directly with academic and institutional partners upon request.
How we work with academia
We structure collaboration to fit institutional research governance — from informal technical exchange to formal commissioned research.
Joint research
Co-defined research programs on evaluation, agent design, and governance — including our ongoing collaboration with Osaka University's medical AI research community (see above).
Commissioned & collaborative projects
Compute access, engineering capacity, and operational support for university-led studies requiring private, auditable AI infrastructure.
Regional academic network
Long-standing relationships with universities in Japan and Southeast Asia support both research exchange and the talent pipeline behind our distributed operations.
Propose a collaboration
If your laboratory or hospital is exploring private LLM infrastructure or clinical agent research, we welcome an initial conversation.