The 3rdHokkaido University
Medical AI Symposium
17 th August 2024 Sat
11:50-18:25

Venue

Pre-Registration

Hybrid EventAdmission

Onsite Hokkaido University Conference HallFree ofCharge

北海道大学学術交流会館

Online

Zoom

Program

Onsite(JST)

Luncheon Seminar hosted by AIRS Medical Japan &Star Product Limited
My Fast MRI Challenge

11:50-12:40

Medical AI Research in Gait
Gait Analysis with AI for Predicting Musculoskeletal Diseases

14:50-15:40

Ken KADOYA

Jongho LEE (Korea)

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

Professor,Laboratory for Imaging Science and Technology (LIST) Department ofElectrical and Computer Engineering, Seoul National University

Revolutionary Image Quality Improvement and its
Clinical Impact Achieved by SwiftMR

Motoki NAKAO

Assistant Professor, Department of Pharmacology, School of Medicine,
Iwate Medical University

Noriyuki FUJIMA

Senior Lecturer, Department of Diagnostic and Interventional Radiology,
Hokkaido University Hospital
12:45-13:00

15:40-16:30

Vikram PATIL (India)

Kohsuke KUDO

Dy Dean , Research(Clinical) & Professor(Radiology), JSS Medical College

Director of the Medical AI Research and Development Center,
Hokkaido University Hospital

Digital Health and Medical AI at the University of Melbourne
Mike CONWAY (Australia)

Shigetsugu HATAKEYAMASenior Lecturer in Digital Health Centre for Digital Transformation of Health
School of Computing and Information Systems University of Melbourne

Dean, Hokkaido University Faculty of Medicine
President of Hokkaido University
13:00-13:50

16:40-17:30

Medical AI Research in Imaging

Tomohiro KIKUCHI

Yoshiyuki WATANABE

Department of Radiology, School of Medicine, Jichi Medical University

Professor,Radiology, Shiga University of Medical Science

Sandy, Cheng-Yu CHEN (Taiwan)

17:30-18:20

Hirotaka ITO

Medical AI Research in Surgery
Surgical Instrument Detection and Motion Analysis
Using Deep Learning

IT Solution Div., Medical Systems Business Div., FUJIFILM Corporation

13:50-14:40

Function and Usability of the SYNAPSE SAI Viewer-1
Keita SAKAMOTO

Senior Lecturer, Department of Diagnostic and Interventional Radiology,
Hokkaido University Hospital

Hiroyuki SUGIMORI

Function and Usability of the SYNAPSE SAI Viewer-2

Associate Professor, Faculty of Health Sciences, Hokkaido University

Daisuke KATOH

Real-time AI assistance for Neuro-Endovascular Treatment:
Neuro-Vascular Assist by iMedCEO, iMed Technologies, Inc.

Evening Seminar Session 2 hosted by FUJIFILM Medical Co., Ltd.

Introduction of the Latest AI Technology Implemented
in the SYNAPSE SAI Viewer

Distinguished Professor, Department of Radiology, College of Medicine,
Taipei Medical University

Kenichi KONO

Evening Seminar Session 1 hosted by Canon Medical Systems

The Evolution and Future of AI in Radiology:
Pioneering the Future with Abierto RSS

Opportunistic Screening using CT
AI in Cognitive Neuroimaging: from Concept to Products

Medical AI Informatics (Online Session)

Current Status and Potential of Medical AI in India

Opening Remarks

Kiyohiro HOUKIN

OnlineClinical Fellow, Department of Diagnostic and Interventional Radiology,
Hokkaido University Hospital

18:20-18:25

Closing Remarks

Tatsuya ATSUMI

Vice President of Hokkaido University (Director of Hokkaido University Hospital)

The Event Organizers (Host)
Clinical AI Human Resources Development Program of Hokkaido University School of Medicine (CLAP)
The Medical AI Research and Development Center of 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
e-mail med_ai@pop.med.hokudai.ac.jp
TEL +81-11-706-5823

The Cosponsors