News & Events
July 10, 2024

【Hybrid Symposium】The Third Hokkaido University Medical AI Symposium will be held on 17th of August 2024

Event Overview:
We are pleased to announce the 3rd Hokkaido University Medical AI Symposium will be held as outlined below. We enthusiastically invite your participation.

Date and Time: 17th August 2023 (Sat)  11:50 to18:25 (Japan Standard Time)
Venue: (this event will be held as a hybrid event)
Onsite:
Hokkaido University Conference Hall ▸ Access Information 
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)

11:50~12:40 Luncheon Seminar Hosted by AIRS Medical Japan& Star Product Limited

Presentation Title Name of the Speaker Affiliation of the Speaker
My Fast MRI Challenge Jongho LEE (Korea) Professor,
Laboratory for Imaging
Science and Technology (LIST) Department of Electrical and Computer Engineering, Seoul National University
Revolutionary Image Quality Improvement and its Clinical Impact Achieved by SwiftMR Noriyuki FUJIMA Senior Lecturer,
Department of Diagnostic and
Interventional Radiology,
Hokkaido University Hospital

12:45~13:00 Opening Remarks
13:00~13:50 Medical AI Research in Imaging

Presentation Title Name of the Speaker Affiliation of the Speaker
Opportunistic Screening using CT Yoshiyuki WATANABE Professor,
Radiology, Shiga University of Medical Science
AI in Cognitive Neuroimaging: from Concept to Products Sandy, Cheng-Yu CHEN (Taiwan) Distinguished Professor, Department of Radiology, College of Medicine, Taipei Medical University

13:50~14:40 Medical AI Research in Surgery

Presentation Title Name of the Speaker Affiliation of the Speaker
Surgical Instrument Detection and Motion Analysis Using Deep Learning Hiroyuki SUGIMORI Associate Professor,
Faculty of Health Sciences,
Hokkaido University
Real-Time AI Assistance for Neuro-Endovascular Treatment:
Neuro-Vascular Assist By iMed
Kenichi KONO CEO,
iMed Technologies, Inc.

14:50~15:40 Medical AI Research in Gait

Presentation Title Name of the Speaker Affiliation of the Speaker
Gait Analysis with AI for Predicting Musculoskeletal Diseases Ken KADOYA Specially Appointed
Associate Professor,
Faculty of Medicine,
Hokkaido University
Machine Learning–Based Gait Analysis to Predict Clinical Frailty Scale in Elderly Patients with Heart Failure Motoki NAKAO Assistant Professor,
Department of Pharmacology,
School of Medicine,
Iwate Medical University

15:40~16:30 Medical AI Informatics

Presentation Title Name of the Speaker Affiliation of the Speaker
Current Status and Potential of Medical AI in India Vikram PATIL (India) Dy Dean, Research (Clinical) & Professor (Radiology),
JSS Medical College
Digital Health and Medical AI at the University of Melbourne Mike CONWAY
(Australia)
Senior Lecturer in
Digital Health Centre for
Digital Transformation of
Health School of Computing
and Information Systems
University of Melbourne

16:40~17:30 Evening Seminar Session 1 hosted by Canon Medical Systems

Presentation Title Name of the Speaker Affiliation of the Speaker
The Evolution and Future of AI in Radiology: Pioneering the Future with Abierto RSS Tomohiro KIKUCHI

Assistant Professor,

Data Science Center

Department of Radiology

Clinical Informatics,
Jichi Medical University 

17:30~18:20 Evening Seminar Session 2 hosted by FUJIFILM Medical Co., Ltd.

Presentation Title Name of the Speaker Affiliation of the Speaker
Introduction of the Latest
AI Technology Implemented
in the SYNAPSE SAI Viewer
Hirotaka ITO IT Solution Div.,
Medical Systems Business Div.,
FUJIFILM Corporation
Function and Usability
of the SYNAPSE SAI
Viewer – 1
Keita
SAKAMOTO
Senior Lecturer,
Department of Diagnostic and Interventional Radiology,
Hokkaido University Hospital
Function and Usability
of the SYNAPSE SAI
Viewer – 2
Daisuke KATOH Department of Diagnostic and Interventional Radiology,
Hokkaido University Hospital

18:20~18:25 Closing Remarks

Tentative Program: please review from here

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

The Cosponsors:
AIRS Medical Japan& Star Product Limited
Canon Medical Systems
FUJIFILM Medical Co., Ltd.
A nonprofit organization (NPO) Medical Image Lab.

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