Imaging and Clinical Research Team
Research
Advanced AI for Revealing the Unseen in Medical Imaging and Video
The Imaging and Clinical Research Team is advancing “AI medicine that visualizes the unseen,” harnessing cutting-edge AI to analyze diverse clinical data routinely collected in practice—medical imaging, surgical videos, gait recordings, and fundus photographs. Our data-driven research aims to generate new disease insights and enable safer, higher-quality care. Key projects include AI that predicts intraoperative adverse events from surgical videos, gait-based estimation of neurological disease severity, and early detection of systemic diseases using ocular images.
Through interdisciplinary collaboration among Neurosurgery (Sugiyama), Neurology (Eguchi), Ophthalmology (Saito), and Information Science (Togo), we are creating novel convergent research and advancing objective, AI-based quantification of human phenotypes. These outcomes will be translated into clinical impact—improving diagnostic accuracy and supporting skill development for junior physicians—scaling from Hokkaido to institutions nationwide.
Member
Taku SUGIYAMALecturer
Hokkaido University Hospital, Department of Neurosurgery
Katsuki EGUCHIAssistant Professor
Hokkaido University, Graduate School of Medicine, Collaborative Research Centre, Division of AI Support for Medical Research / Department of Neurology
Michiyuki SAITOClinical Lecturer
Department of Ophthalmology, Graduate School of Medicine, Hokkaido University
Ren TOGOAssociate Professor
Laboratory of Media Dynamics, Faculty of Information Science and Technology, Hokkaido University
