The 3rd Hokkaido University Medical AI Symposium was hosted by our department on 17th August 2024.
The symposium’s presentations are available on YouTube for post-event viewing.
Luncheon Seminar hosted by AIRS Medical Japan & Star Product Limited
My Fast MRI Challenge
Jongho LEE
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
Opening Remarks
Opening Remarks
Kohsuke KUDO
Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine
Medical AI Research in Imaging
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
Distinguished Professor, Department of Radiology, College of Medicine,
Taipei Medical University
Medical AI Research in Surgery
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
※Please contact us directly at the email address provided below regarding this presentation. ‘vyr01450@gmail.com’
Medical AI Research in Gait
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
Medical AI Informatics (Online Session)
Current Status and Potential of Medical AI in India
Vikram PATIL
Dy Dean , Research(Clinical) & Professor(Radiology), JSS Medical College
Digital Health and Medical AI at the University of Melbourne
Mike CONWAY
Senior Lecturer in Digital Health Centre for Digital Transformation of Health
School of Computing and Information Systems University of Melbourne
Evening Seminar Session 1 : hosted by Canon Medical Systems
The Evolution and Future of AI in Radiology:
Pioneering the Future with Abierto RSS
Tomohiro KIKUCHI
Department of Radiology, School of Medicine, Jichi Medical University
Evening Seminar Session 2 hosted by FUJIFILM Medical Co., Ltd.
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
Clinical Fellow, Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital