Ph.D. Professor Tomohiro Kuroda
Medical Informatics is an academic discipline that studies clinical activities and socio-medical systems as processes of creation, communication, transformation, accumulation, and utilization of information, while also developing new information technology and seeking new knowledge to support medical effectiveness and efficacy.
We are eager to meet prospective colleagues full of curiosity, willing to forge a new vision for the future of clinical medicine in the information age, following the current storm of revolutions in how we handle information.
Research and Education
Our department is conducting research activities in real clinical settings in collaboration with faculty members of the Information Systems and Medical Sciences departments, as well as many specialists belonging to the Hospital and Graduate School of Medicine. Our goals are to create an information infrastructure, to analyze active clinical information, and to realize practical information support. Toward the goals, we conduct cutting-edge research through data science, medical AI, IoT, VR/AR/MR, and other technologies in all areas where information and medicine face, including the development of information systems for hospitals, telemedicine, and clinical epidemiology, hospital management analysis, diagnostic support such as patient condition prediction and medical image processing, and medical treatment, education, and surgical support.
Our department accepts many graduate students, including international students from the Graduate School of Medicine and Informatics. Students will learn essential skills, including solid basic competences, flexible thinking, and proper communication, in a multi-national, multi-lateral collaborative research context, in research institutes of Medicine, Informatics, and Engineering, and at social settings such as hospitals and local communities.
Our Research Topics
Our Research
Recent Publications
- Keita Fukuyama, Yukiko Mori, Hiroaki Ueshima, Shiho Ito, Masaki Tanabe, Tomohiro Kuroda, (2024). Medical Resource usage for COVID-19 Evaluated using the National Database of Health Insurance Claims and Specific Health Checkups of Japan. PLOS ONE.
- Yuki Kuroda, Goshiro Yamamoto, Tomohiro Kuroda, (2024). Identifying undefined risks: A risk model and a privacy risk identification measure in the privacy impact assessment process. The Information Society.
- Hiroto Hada, Shusuke Hiragi, Yukiko Mori, Kenichi Saito, Masumi Ai, Tomohiro Kuroda (2023). Reduction in X-ray Retake Rate Using the Token Economy Method. Studies in Health Technology and Informatics.
- Koji Yokoyama, Goshiro Yamamoto, Chang Liu, Kazumasa Kishimoto, Tomohiro Kuroda (2023). Operating Room Surveillance Video Analysis for Group Activity Recognition. Advanced Biomedical Engineering.
- Kana Eguchi, Tsutomu Yabuuchi, Masayuki Nambu, Hirofumi Takeyama, Shozo Azuma, Kazuo Chin, Tomohiro Kuroda (2022). Investication on Factors Related to Poor CPAP Adherence using Machine Learning : A Pilot Study. Scientific Reports.
Laboratory
Professors: Tomohiro Kuroda, Hiroshi Tamura (Institute for Liberal Arts and Sciences), Genta Kato
Program-Specific Professor: Goshiro Yamamoto (Preemptive Medicine & Lifestyle-Related Disease Research Center)
Associate Professors: Yukiko Mori
Program-Specific Senior Lecturers:
Masahiro Yakami (Preemptive Medicine & Lifestyle-Related Disease Research Center),
Akira Yutani (Center for Digital Transformation of Healthcare),
Hiroaki Ueshima (Institute for Liberal Arts and Sciences),
Chang Liu (Department of Real World Data R&D, Graduate School of Medicine,)
Assistant Professors: Kazumasa Kishimoto
Program-Specific Assistant Professors:
Kenichi Saito (Center for Digital Transformation of Healthcare),
Keita Fukuyama
Visiting Researcher: Masahiro Ihara, Naoto Kume, Yuki Kuroda, Hiroshi Sasaki, Osamu Sugiyama, Takahiro Nakahara, Masayuki Nanbu, Shusuke Hiragi
TEL : +81-75-366-7701
FAX : +81-75-366-7704
e-mail : medinfoq@kuhp.kyoto-u.ac.jp