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Co-organized by Visionary Initiative – VIH1（Total Healthcare Design）

Dr. Nicholas Ayache is a leading researcher in the field of medical image AI in France (h-index: 122, citations: 69,000), and has received numerous prestigious awards, including the Microsoft Grand Prize for Research in Europe from the Royal Society and other prestigious societies, making him a truly representative researcher in Europe. The international journal “Medical Image Analysis (Impact factor: 14.0),” which he co-founded, is one of the top journals in this field. He is also a member of the French Academy of Sciences and an honorary member of many academic societies.
This lecture titled “AI, Medical Imaging & Digital Twins for Healthcare” will feature his valuable research findings and insights. This is a valuable opportunity to learn from a world-class researcher without leaving Japan.
We encourage everyone to attend – regardless of their academic background (science, engineering, medicine, dentistry) or whether they are faculty or students – and make the most of this experience.

Abstract

Deep learning algorithms (CNN, VAE, GAN, etc.) have brought about a revolution in the analysis of medical image analysis. These advances can also be used to promote a synthetic and integrative representation of the patient, built from images and other available data. This digital twin can be used for the diagnosis, and then to simulate, optimize and guide the therapy. In this talk, I will illustrate those points with some of our recent work on several medical applications in oncology, neurology, interventional cardiology and robotized surgery.

Prior registration is required

For those who would like to attend online, please sign up at the link below by 17:00, Friday, July 3, 2026. No registration required for those who attend on site.

For inquiries, please contact

Kenji Suzuki Laboratory, Biomedical AI Research Unit, Institute of Integrated Research