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人工智能赋能的医学成像:现状与未来。

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

作者信息

Shi Ying-Huan, Wang Qian

机构信息

State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China.

Institute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.

出版信息

Chin Med Sci J. 2019 Jun 30;34(2):71-75. doi: 10.24920/003615.

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.

摘要

医学成像如今正被人工智能(AI)重塑,并正迅速迈向未来。在本文中,我们回顾了人工智能赋能医学成像的最新进展。首先,我们简要回顾人工智能在其发展历程中的背景。然后,我们讨论人工智能在不同医学成像任务中的近期成功案例,特别是在图像分割、配准、检测和识别方面。此外,我们举例说明人工智能赋能医学成像的几个代表性应用,以展示其在实际场景中的优势,其中包括胸部CT中的肺结节、神经成像、乳腺X线摄影等。最后,我们报告人机交互的方式。我们相信,在未来,人工智能不仅会改变传统的医学成像方式,还会改善医疗护理的临床流程,并推动医学领域的诸多方面发展。

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