Research on the Analysis of Neurosurgical Videos using AI

Neurosurgical procedures are considered to require highly advanced techniques due to the unique characteristics of the organs involved. However, there has been a lack of methods for digitizing and analyzing the surgical process itself, which has posed challenges in verifying the safety and efficacy of these surgeries. This research is a novel attempt to conduct multifaceted analyses of surgical videos, such as those from microscopes and endoscopes, using AI technology, with the aim of developing AI systems to assist in surgeries. Furthermore, by directly exploring factors that influence the safety and efficacy of surgeries, the study seeks to contribute to the advancement of better surgical techniques and surgeon training methods.

Development Section in Charge

AI Development for Surgical Assistant Section

Principal Investigator

SUGIYAMA Taku, Lecturer, Department of Neurosurgery, Hokkaido University Hospital

University-Affiliated Researchers

FUJIMURA Miki, Professor, Department of Neurosurgery, Hokkaido University Hospital
SUGIMORI Hiroyuki, Associate Professor, Department of Neurosurgery, Hokkaido University Graduate School of Medicine
TANG Minghui, Specially Appointed Assistant Professor, Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine
OGASAWARA Katsuhiko, Professor, Department of Health Sciences and Technology /Digital Health Innovation, Faculty of Health Sciences

Non-University-Affiliated Researcher

Dr. MATSUZAWA Hitosi, Kashiwaba Neurosurgical Hospital

External Funding

The Ministry of Education, Culture, Sports, Science and Technology (MEXT)  Grant-in-Aid for Scientific Research (C)（21K09091）