Department of Medical AI Research

MIRAI

Medical Intelligence Research for Advanced Innovation

Mission

Our mission is to save the lives of children across the globe through the development and application of artificial intelligence in clinical medicine, public health, and molecular biology.

Description

MIRAI (Medical Intelligence Research for Advanced Innovation -- mirai meaning "future" in Japanese) is a biomedical research department dedicated to advancing artificial intelligence in medicine and healthcare. Our work spans medical imaging to AI predictive models, with a focus on solutions applicable in low- and middle-income countries (LMICs) to improve patient outcomes and transform the delivery of care all over the world.

Research Areas

Medical Imaging and Diagnostics

We develop AI-driven systems for the analysis of medical imaging modalities -- including MRI, CT, and digital pathology -- to enhance disease detection, diagnostic accuracy, and clinical decision support.

Biomedical Data Science

We apply artificial intelligence and advanced statistical modeling to real-world clinical datasets to predict disease severity and assess emergency department utilization, with the goal of improving health outcomes in children.

Members

Kohji Okamura, Ph.D.
Tsunehiko Takamura, Ph.D.
Noriko Kawasaki
Miki Nobe
Natsuhiko Yamada, M.D.
Hiroaki Fukuse, M.D.
Hiroshi Yamanaka, M.D

Bibliography

2025

Yamada N., Sakamoto A, Nagoshi R, et al. (2025). CYCS-related thrombocytopenia in three Japanese families with a novel variant in one family. Int J Hematol. Published online. doi:10.1007/s12185-025-04145-3

Tsunehiko Takaura., Akihiro Umezawa. (2025). Privacy-Preserving Retrieval-Augmented Generation on Local Devices for Regenerative Medicine Applications medRxiv..

2024

Ruri Katsunuma., Tsunehiko Takamura, et al. (2024) Proof of mechanism investigation of Transcutaneous auricular vagus nerve stimulation through simultaneous measurement of autonomic functions: a randomized controlled trial protocol. BioPsychoSocial medicine.
Keima Tose, Tsunehiko Takamura*, et al. (2024) Systematic reduction of gray matter volume in anorexia nervosa, but relative enlargement with clinical symptoms in the prefrontal and posterior insular cortices: a multicenter neuroimaging study. Molecular psychiatry. *Equal contribution