The development of artificial intelligence technology has enabled automatic diagnosis for various medical image data, such as CT images, MRI, ultrasound images, and pathology images. Automatic diagnosis can reduce the risk of missed diagnosis and the burden on physicians. Technology is developing that uses wearable devices to capture healthcare data and combine it with AI to automatically monitor an individual's condition. Furthermore, with the emergence of large-scale language models such as ChatGPT in recent years, artificial intelligence is now able to provide verbal explanations and suggestions for a variety of medical data. We feel that we are approaching a future in which doctors and artificial intelligence will be able to interact and make decisions. In this seminar, the above will be explained with case examples.

12:10 – 12:15　Introduction
Fumihiko YOKOTA, Associate Professor (Q-AOS Coodinator)

12:15 – 12:40 "Medical Data Analysis Using Artificial Intelligence - Introduction of Various Case Studies -”

Hirohiko Niioka, Professor
(Division of Healthcare Digital Transformationy, Data-Driven Innovation Initiative,)

12:40 – 12:50 Q&A

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