ニュース

2024年07月10日

2024817(土)開催【ハイブリッド】 3 北海道大学医療AIシンポジウム

開催概要:
下記の要領にて、 第3回 北海道大学医療AIシンポジウムを開催いたします。奮ってご参加いただけますようお願いいたします。

日時:2024年8月17日(土)11:50~18:25
会場:北海道大学学術交流会館+zoom配信(ハイブリッド開催)
   ▸北海道大学学術交流会館へのアクセス方法
参加費:無料
使用言語:英語
参加申込:事前登録制
現地参加申込:こちらをクリックしてください
オンライン参加申込:こちらをクリックしてください

プログラム:(詳細につきましては変更となる可能性がございます。予めご了承いただけますようお願いいたします)

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 Lecturer,
Department of Radiology,
School of Medicine,
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

プログラム:こちらよりご確認ください

主催:
北海道大学大学院医学研究院 医療AI開発者養成プログラム(CLAP)
北海道大学病院 医療AI研究開発センター

協賛:
AIRS Medical Japan& Star Product Limited
Canon Medical Systems
FUJIFILM Medical Co., Ltd.
特定非営利活動法人 メディカルイメージラボ

お問い合わせ:
北海道大学大学院医学研究院医療AI開発者養成プログラム(CLAP)事務局
〒060-8638 北海道札幌市北区北15条西7丁目
Email: med_ai(at)pop.med.hokudai.ac.jp    *(at)を@に置き換えてください
Tel: 011-706-5823