The Evaluation of Total Solutions Brought by AI to Diagnostic Imaging

AI-related technologies are increasingly being utilized in many aspects of current examination workflows, diagnostic imaging, and diagnostic imaging assistance software. At the same time, there is growing interest in the importance of outcome accuracy and reproducibility brought about by AI technologies. Therefore, in collaboration with United Imaging Healthcare, we are developing and evaluating new diagnostic support software aimed at improving clinical workflows and automatic examination workflows, in addition to enhancing image quality using CNNs.

Development Section in Charge

AI Development for Diagnostic Imaging Assistant Section

Principal Investigator

KUDO Kohsuke, Professor, Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine

University-Affiliated Researchers

HIRATA Kenji, Associate Professor, Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine
TANG Minghui, Specially Appointed Assistant Professor, Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine

Non-University-Affiliated Researchers

KAJI Tsubasa, Senior Manager, Marketing & Business Department
HIRAYAMA Akira, Marketing Manager
KITADA Takayuki, Lead Clinical Application Personnel

Collaborative Research Partner

United Imaging Healthcare Japan Co., Ltd.

External Funding

Joint research funding from United Imaging Healthcare Japan Co., Ltd.