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, |
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