Japanese Journal of Radiology

, Volume 37, Issue 2, pp 103–108 | Cite as

Recent technical development of artificial intelligence for diagnostic medical imaging

  • Norio NakataEmail author
Invited Review


Deep learning has caused a third boom of artificial intelligence and great changes of diagnostic medical imaging systems such as radiology, pathology, retinal imaging, dermatology inspection, and endoscopic diagnosis will be expected in the near future. However, various attempts and new methods of deep learning have been proposed in recent years, and their progress is extremely fast. Therefore, at the initial stage when medical artificial intelligence papers were published, the artificial intelligence technology itself may be old technology or well-known general-purpose common technology. Therefore, the author has reviewed state-of-the-art computer vision papers and presentations of 2018 using deep learning technologies, which will have future clinical potentials selected from the point of view of a radiologist such as generative adversarial network, knowledge distillation, and general image data sets for supervised learning.


Artificial intelligence Deep learning Computer vision 


Compliance with ethical standards

Conflict of interest

The Conflict of Interest form and the Ethical Statement: no potential conflict of interest and of the commercial entities.


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Copyright information

© Japan Radiological Society 2019

Authors and Affiliations

  1. 1.Department of RadiologyThe Jikei University, School of MedicineTokyoJapan

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