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【Hybrid Symposium】The FOURTH Hokkaido University Medical AI Symposium will be held on 16th of August 2025

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 participationClick Here
Registration for online participationClick 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 TitleName of the SpeakerAffiliation of the Speaker
AI Application in Radiological WorkflowAkira YamadaProfessor, Medical Data Science Course, Shinshu University School of Medicine, Japan

13:00~13:15 Opening Remarks

Kiyohiro HOUKINProfessor and President of Hokkaido University
Shinya TANAKAProfessor and Dean of the Faculty of Medicine, Hokkaido University
Kohsuke KUDOProfessor, Department of Diagnostic Imaging, Faculty of Medicine, Hokkaido University


13:15~14:30 Session 1: Semiconductor

Presentation TitleName of the SpeakerAffiliation of the Speaker
Silicon-CMOS Reservoir Computing Devices for Time Series Prediction in Medical AITetsuya ASAIProfessor,
Faculty of Information Science and Technology, Hokkaido University, Japan
Digital Biomarkers and the Application of Sensors in HealthcareBayarbaatar BOLDAI Equity Lead, Mongolian Society of Artificial Intelligence in Medicine
Digital Health Officer / Health Data Analyst, Habido LLC, Mongolia
Towards a Vibrant AI Hardware Accelerator EcosystemMichiaki TATSUBORISenior Technical Staff Member,
IBM Semiconductors, Japan

14:35~15:25 Session 2: Digital Health

Presentation TitleName of the SpeakerAffiliation of the Speaker
Human-centered AI for mobile sensing and computingTing DANGSenior Lecturer in Digital Innovation
School of Computing and Information Systems,
The University of Melbourne, Australia
Promoting Healthcare DX: Envisioning Innovation through AI UtilizationTomonoshin AOKIAssistant Director, Ministry of Health, Labour and Welfare in Japan, Japan

15:30~16:20 Session 3: Generative AI / Large Language Models

Presentation TitleName of the SpeakerAffiliation of the Speaker
Medical AI/NLP/DX: Real-World ApplicationsEiji ARAMAKIDivision of Information Science, Graduate School of Science and
Technology, Nara Institute of Science and Technology, Japan
AI in Primary HealthcareShantanu MAJUMDARResearch Director of Healthcare Research program, Rakuten Group, Inc.

16:25~17:15 Session 4: Pathology and Radiology

Presentation TitleName of the SpeakerAffiliation of the Speaker
Introducing Pathological Foundation Models: Through Brain Tumor ClassificationKen ENDADepartment of Cancer Pathology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Japan
Latest AI Technology in IT-based Healthcare SolutionsHirotaka ITOIT Solution Div.,
Medical Systems Business Div.,
FUJIFILM Corporation, Japan

17:15~17:55 Evening Seminar Session 1 hosted by J-MAC System Inc.

Presentation TitleName of the SpeakerAffiliation of the Speaker
Legal Considerations for the Use of AI in HealthcareHitoshi FUJIMAKIAttorney admitted in Japan and New York, TMI Associates, Japan

17:55~18:35 Evening Seminar Session 2 hosted by Canon Medical Systems Corporation

Presentation TitleName of the SpeakerAffiliation of the Speaker
Latest Insights on AI in Medical Imaging ModalityShigeru KIRYUIT 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