7th Medicine x AI seminar: Improve the efficiency of the clinical site by introducing AI and IT

  • Date：
    2019.07.21（Sun.）
  • Time：
    15:00-17:00
  • Venue：
    SMBC Academia Hall, 4F International Academic Research Building, the University of Tokyo
    MAP
  • Capacity：

    50 seats (Early registration recommended before completion)

  • Hosted by：

    Institute for Future Initiatives, the University of Tokyo
    Keio Medical AI Center, Keio University
    M3, Inc.

  • Co-Hosted by：

    Japan Deep Learning Association
    Center for the Fourth Industrial Revolution Japan

  • Language：

    Japanese

Registration is now closed for this event.
Abstract

*This seminar will be conducted in Japanese.

Artificial Intelligence (AI) and ICT are expected to solve problems in medical practices such as reducing doctor’s working hours and improving quality of care. While AI research and development advances with diagnostic support, many issues remain in implementation.

This seminar series aims to promote the implementation of AI in medicine by sharing current information among doctors, healthcare workers, engineers, users, policymakers, and other stakeholders.

The 7th seminar invites Prof. Tomohiro Kuroda (Kyoto University), Dr. Yoshiharu Nakayama (Y’s Reading inc.) , and Dr. Yoshinori Abe (Ubie, Inc. ) to discusses how AI and IT could improve the efficiency of the clinical site.