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【Hybrid Symposium】The FOURTH Hokkaido University Medical AI Symposium will be held on 16th of August 2025
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Event Overview:
We are pleased to announce the 4th Hokkaido University Medical AI Symposium will be held as outlined below. We enthusiastically invite your participation.
Date and Time: 16th August 2025 (Sat) 12:00 to18:40 (Japan Standard Time)
Venue: (this event will be held as a hybrid event)
Onsite: Hokkaido University Clinical Medicine lecture Hall
Online: Zoom
Admission: Free
Language Used: English
Registration: Pre-registration required
Registration for Onsite participation: Click Here
Registration for online participation: Click Here
Program: The Event Schedule (the times allocated for each session are tentative and subject to change without any notification)
12:00~12:40 Luncheon Seminar Hosted by GE HealthCare Japan
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
AI Application in Radiological Workflow | Akira Yamada | Professor, Medical Data Science Course, Shinshu University School of Medicine, Japan |
13:00~13:15 Opening Remarks
Kiyohiro HOUKIN | Professor and President of Hokkaido University |
Shinya TANAKA | Professor and Dean of the Faculty of Medicine, Hokkaido University |
Kohsuke KUDO | Professor, Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University |
13:15~14:30 Session 1: Semiconductor
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Silicon-CMOS Reservoir Computing Devices for Time Series Prediction in Medical AI | Tetsuya ASAI | Professor, Faculty of Information Science and Technology, Hokkaido University, Japan |
Digital Biomarkers and the Application of Sensors in Healthcare | Bayarbaatar BOLD | AI Equity Lead, Mongolian Society of Artificial Intelligence in Medicine Digital Health Officer / Health Data Analyst, Habido LLC, Mongolia |
Towards a Vibrant AI Hardware Accelerator Ecosystem | Michiaki TATSUBORI | Senior Technical Staff Member, IBM Semiconductors, Japan |
14:35~15:25 Session 2: Digital Health
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Human-centered AI for mobile sensing and computing | Ting DANG | Senior Lecturer in Digital Innovation School of Computing and Information Systems, The University of Melbourne, Australia |
Promoting Healthcare DX: Envisioning Innovation through AI Utilization | Tomonoshin AOKI | Assistant Director, Ministry of Health, Labour and Welfare in Japan, Japan |
15:30~16:20 Session 3: Generative AI / Large Language Models
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Medical AI/NLP/DX: Real-World Applications | Eiji ARAMAKI | Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Japan |
AI in Primary Healthcare | Shantanu MAJUMDAR | Research Director of Healthcare Research program, Rakuten Group, Inc. |
16:25~17:15 Session 4: Pathology and Radiology
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Introducing Pathological Foundation Models: Through Brain Tumor Classification | Ken ENDA | Department of Cancer Pathology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Japan |
Latest AI Technology in IT-based Healthcare Solutions | Hirotaka ITO | IT Solution Div., Medical Systems Business Div., FUJIFILM Corporation, Japan |
17:15~17:55 Evening Seminar Session 1 hosted by J-MAC System Inc.
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Legal Considerations for the Use of AI in Healthcare | Hitoshi FUJIMAKI | Attorney admitted in Japan and New York, TMI Associates, Japan |
17:55~18:35 Evening Seminar Session 2 hosted by Canon Medical Systems Corporation
Presentation Title | Name of the Speaker | Affiliation of the Speaker |
Latest Insights on AI in Medical Imaging Modality | Shigeru KIRYU | IT School of Medicine, International University of Health and Welfare, Japan |
18:35~18:40 Closing Remarks
Yasuyuki NASUHARA, Professor and Director of Hokkaido University Hospital
The Event Organizer (Host):
Clinical AI Huma Resources Development Program of Hokkaido University School of Medicine (CLAP)
The Medical AI Research and Development Center of the Hokkaido University Hospital
Contact Information:
Department of Diagnostic Imaging,
Hokkaido University Graduate School of Medicine and Faculty of Medicine
N15, W7, Kita ward, Sapporo, Japan, 060-8638
The Secretariat of the Clinical AI Human Resources Development Program of Hokkaido University School of Medicine (CLAP)
E-mail: med_ai@pop.med.hokudai.ac.jp
Phone: +81-11-706-5823