Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (2): 71-75.doi: 10.24920/003615

• Editorial • Previous Articles     Next Articles

The Artificial Intelligence-Enabled Medical Imaging: Today and Its Future

Shi Ying-huan1, Wang Qian2, *()   

  1. 1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
    2. Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
  • Received:2019-03-31 Accepted:2019-05-20 Online:2019-06-11 Published:2019-06-11
  • Contact: Wang Qian E-mail:wang.qian@sjtu.edu.cn

Abstract:

Medical imaging is now being reshaped by artificial intelligence (AI) and progressing rapidly toward future. In this article, we review the recent progress of AI-enabled medical imaging. Firstly, we briefly review the background about AI in its way of evolution. Then, we discuss the recent successes of AI in different medical imaging tasks, especially in image segmentation, registration, detection and recognition. Also, we illustrate several representative applications of AI-enabled medical imaging to show its advantage in real scenario, which includes lung nodule in chest CT, neuroimaging, mammography, and etc. Finally, we report the way of human-machine interaction. We believe that, in the future, AI will not only change the traditional way of medical imaging, but also improve the clinical routines of medical care and enable many aspects of the medical society.

Key words: medical imaging, artificial intelligence, deep learning, image segmentation, image registration, image detection, image recognition

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