教授就任記念講演 物理学と機械学習,そして医療

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  • 物理学と機械学習，そして医療
  • キョウジュ シュウニン キネン コウエン ブツリガク ト キカイ ガクシュウ,ソシテ イリョウ
  • Physics, Machine Learning, and Medicine

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In this manuscript, the relationship between physics and machine learning（ML）and the application to the medical field were informally described. The recent development of artificial intelligence, which is based on ML, urged us to apply the disease finding, disease classification, a decision-making system, and so on. I believe that the ML based medicine is a natural way to proceed. However, the important thing is not only to apply the ML technology in the various medical problems, but also to understand the causality in those problems : That’s the approach in the physics, and the quantitative consideration in the research in physics yields almost same ways used in the ML. In addition, the state-of-the-art ML such as a deep learning, becomes one of the powerful tools in a discovery in physics. Although, the medical field has a benefit with ML, we’d need to go to the next stage to find solutions in more fundamental problems with the medically developed ML methodology.

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