Medical Application of Artificial Intelligence/Deep Learning Jun Miyake 1 , Hironori Ohigashi 2 , Hirohiko Niioka 3 , Park Kaechang 4,5 1Global Center for Medical Engineering and Informatics, Osaka University 2School of Engineering Science, Osaka University 3Osaka University Institute for Datability Science 4Research Organization for Regional Alliances of Kochi University of Technology 5Brain Check-up Center, Kochi Kenshin Clinic Keyword: 人工知能 , 深層学習 , 診断 , 複雑系 , カテゴリー化 , artificial intelligence , deep learning , diagnosis , complex system , categorization pp.5-14
Published Date 2019/1/1
DOI https://doi.org/10.11477/mf.1416201211
  • Abstract
  • Look Inside
  • Reference


Deep learning is a subset of the medical application of artificial intelligence. Its significant results are garnering attention, particularly in radiographic image interpretation, pathological diagnosis, gene analysis, and prediction of cancer recurrence. In this study, we summarize the concept of deep learning. The human body structure, from the molecule to physical functions, is a complex system. Deep learning is a new way to analyze its complex systems. An essential point of the analysis is the categorization of obstacles. To a certain extent, deep learning approximates a doctor's cognition.

Copyright © 2019, Igaku-Shoin Ltd. All rights reserved.


電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院