人工智能赋能医学影像的现状与前景

史颖欢; 王乾

doi:10.24920/003615

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人工智能赋能医学影像的现状与前景

中国医学科学杂志（英文版） 2019年34卷第2期页码：71-75

Editorial | Updated：2024-04-10

- 人工智能赋能医学影像的现状与前景
- Affiliations：
  
  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
- Author bio：
  
  *, E-mail: wang.qian@sjtu.edu.cn.
- Funds：
- DOI：10.24920/003615
  中图分类号：
- 收稿日期：2019-03-31，
  
  录用日期：2019-5-20，
  
  网络出版日期：2019-06-11，
  
  纸质出版日期：2019-06-11
- Accepted：
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史颖欢, 王乾. 人工智能赋能医学影像的现状与前景[J]. 中国医学科学杂志（英文版）, 2019,34(2):71-75.

Shi Ying-huan, Wang Qian. The Artificial Intelligence-Enabled Medical Imaging: Today and Its Future[J]. Chinese medical sciences journal;chinese medical sciences journal, 2019, 34(2): 71-75.
史颖欢, 王乾. 人工智能赋能医学影像的现状与前景[J]. 中国医学科学杂志（英文版）, 2019,34(2):71-75. DOI： 10.24920/003615.

Shi Ying-huan, Wang Qian. The Artificial Intelligence-Enabled Medical Imaging: Today and Its Future[J]. Chinese medical sciences journal;chinese medical sciences journal, 2019, 34(2): 71-75. DOI： 10.24920/003615.

摘要

目前

人工智能正在重塑医学成像技术并迅速发展。在本文中

我们评述了人工智能（Artificial intelligence

AI）赋能医学影像的最新进展。首先

简要回顾了人工智能演进的相关背景;然后

我们讨论了近年来人工智能在医学成像领域取得的成果

特别是在图像分割、配准、检测和识别等方面。此外

我们还介绍了几个具有代表性的 AI支持的医学成像应用场景

包括胸部 CT的肺结节

神经影像学和乳腺X线摄影等。AI在这些方面的应用表现出其在医学实践活动中应用的优势。最后

我们报告了人机交互的方式。我们认为

在未来的发展中

AI不仅会改变传统医学成像和图像阅读方式

也将改变当前的常规诊疗模式

并且介入到医疗领域的其他方面。

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.

关键词

Keywords

references

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