Going forward, AI human resources will be indispensable to resolving medical problems, and Tohoku University Hospital will do everything in its power to nurture such resources.
Department of Microbiology and Immunology Tohoku University Graduate School of Medicine
Position
Professor
Field of specialty
Microbiology and immunology, allergology, and pediatrics
Medical AI Initiatives
I will do everything I can to uncover and nurture human resources at every level—from undergraduates to researchers—who are capable of promoting medical AI.
Gen Tamiya
Organization
Department of Frontier Studies of Medical AI Tohoku University Graduate School of Medicine
Position
Professor
Field of specialty
AI, machine learning, mathematical analysis
Medical AI Initiatives
Using large-scale genomic cohorts and biobank data to evaluate risks of disease onset
Medical IT Center, Tohoku University Hospital; and Smart Hospital Promotion Office, Tohoku University Hospital
Position
Center Director, and Office Director
Field of specialty
Diagnostic radiology, interventional radiology, and medical informatics
Medical AI Initiatives
Using medical AI to improve clinical services; and promoting smart hospitals
Junya Iwazaki
Organization
United Centers for Advanced Research and Translational Medicine, Center for Artificial Intelligence in Medical Education and Office of Medical Education, Tohoku University Graduate School of Medicine
Position
Vice-director of and Lecturer at the Core Center
Field of specialty
Computational learning, medical education, and information security
Medical AI Initiatives
Planning for and implementation of programs for developing medical AI human resources
Pathology Informatics Team, RIKEN Center for Advanced Intelligence Project (AIP); and Tohoku University
Position
Team Leader, and Visiting Professor
Field of specialty
Pathology, and computer science
Medical AI Initiatives
Using AI to discover new disease mechanisms and treatments; to choose optimal treatments; and to carry out the integrated analysis of medical data
Masamitsu Maekawa
Organization
Department of Pharmaceutical Sciences, Tohoku University Hospital; Department of Clinical Pharmaceutical Science, Tohoku University Graduate School of Medicine Laboratory of Biomolecule and Pathophysiological Chemistry, Graduate School of Pharmaceutical Sciences, Tohoku University
Position
Associate Professor, and Deputy Director, Pharmaceutical Department
Field of specialty
Using patient data for pathophysiological analysis, molecular diagnosis, and personalized medicine
Medical AI Initiatives
Using AI and ICT to optimize pharmacist services and pharmacist education
Radiology, Clinical Technology Department, Tohoku University Hospital; Clinical Imaging Research Promotion Office, AI Lab
Position
Clinical Radiology Chief Engineer; Deputy Director
Field of specialty
Medical imaging informatics; medical informatics; image management
Medical AI Initiatives
Anonymization of medical images; imaging data collection
Naoki Nakamura
Organization
Medical IT Center, Tohoku University Hospital; Department of Medical Informatics, Clinical Research, Innovation and Education Center, Tohoku University Hospital
Position
Associate Professor; Associate Director of Medical IT Center; Director of Department of Medical Informatics
Field of specialty
Medical informatics; real world data (RWD); information security
Medical AI Initiatives
My goal is to establish a platform that can utilize RWD!
Susumu Fujii
Organization
Disaster Medical Informatics Lab, Disaster Medical Science Division, International Research Institute of Disaster Science, Tohoku University; Medical IT Center, Tohoku University Hospital
Position
Associate Professor; Vice Director of Medical IT Center
Field of specialty
Medical informatics; disaster medical informatics; health economics and hospital management; AI (natural language processing and modeling); social media scraping
Medical AI Initiatives
Executing medical responses to disasters based on situational understanding; implementing AI-based medical consultations using personal health records; using social media to make predictions about medical demand and mental health
