人工智能在医学图像处理中的研究进展与展望

吴毅; 张小勤

doi:10.16016/j.1000-5404.202106194

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人工智能在医学图像处理中的研究进展与展望

专题报道：数字医学与人工智能 | 更新时间：2026-01-09

- 人工智能在医学图像处理中的研究进展与展望
- Artificial intelligence in medical image processing: progress and prospect
- 第三军医大学学报 2021年43卷第18期页码：1707-1712
- 作者机构：
  
  400038 重庆，陆军军医大学(第三军医大学)生物医学工程与影像医学系数字医学教研室
- 作者简介：
  
  [吴毅，博士，教授，博士研究生导师，荷兰阿姆斯特丹大学访问学者。担任重庆市数字医学学会副理事长等学术任职；主持国家、军队、省部级课题或项目10项，包括国家重点研发计划子课题1项、国家自然科学基金3项、重庆市科技英才项目1项，获得重庆市教学成果二等奖1项，全国教学成果二等奖1项；副主编《数字化智能放疗》，以第一作者或通讯作者发表SCI论文19篇。主要从事数字医学、数字解剖学与医学人工智能方面的研究。E-mail: wuy1979@tmmu.edu.cn WU Yi, E-mail: wuy1979@tmmu.edu.cn
- 基金信息：
  
  国家自然科学基金(31971113);重庆市基础研究与前沿探索项目(cstc2018jcyjAX0537);重庆英才青年拔尖人才项目(CQYC201905037)
- DOI：10.16016/j.1000-5404.202106194
  中图分类号： R318.5;R319
- 收稿：2021-06-24，
  
  修回：2021-07-11，
  
  纸质出版：2021-09-30
- 稿件说明：
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吴毅, 张小勤. 人工智能在医学图像处理中的研究进展与展望[J]. 第三军医大学学报, 2021,43(18):1707-1712.

Yi WU, Xiaoqin ZHANG. Artificial intelligence in medical image processing: progress and prospect[J]. Journal of Third Military Medical University, 2021, 43(18): 1707-1712.
吴毅, 张小勤. 人工智能在医学图像处理中的研究进展与展望[J]. 第三军医大学学报, 2021,43(18):1707-1712. DOI： 10.16016/j.1000-5404.202106194.

Yi WU, Xiaoqin ZHANG. Artificial intelligence in medical image processing: progress and prospect[J]. Journal of Third Military Medical University, 2021, 43(18): 1707-1712. DOI： 10.16016/j.1000-5404.202106194.

摘要

目前，世界总体已进入老龄化社会，患各种疾病的人越来越多，有限的医疗资源难以满足当今社会的医疗需求。人工智能在医疗领域的应用早期包括信息咨询、电子病历等，后期在基于影像、病理等数据的基础上对皮肤病、肺结节等方面的智能诊断进展迅速。人工智能在类似这些领域的广泛应用可以适当地缓解医疗资源紧张、临床医生负担重等问题。本述评从人工智能辅助医学图像分割、疾病的智能诊断和智能预后评估三个方面，分析近几年国内外人工智能在医学图像处理中的研究和应用，探讨医学人工智能的研究进展，并对今后的研究方向进行展望，为未来人工智能辅助医学图像处理提供借鉴，加快医疗资源数字化，节约医疗成本，提高医疗效率。

Abstract

At present

our world has entered an aging society

with more and more people suffering from various diseases

but the limited medical resources are difficult to meet the medical needs of today's society. Artificial intelligence has been used in medical care in the early stage

including medical information consultation and electronic medical records

and in the later stage

it is applied into intelligent diagnosis of skin cancer and pulmonary nodule based on medical imaging and pathological data. Such researches and products concerning artificial intelligence have developed rapidly

and can save medical resources and reduce medical burden. This paper analyzes the research and application of artificial intelligence in medical image processing in recent years

in the aspects of intelligent segmentation

intelligent diagnosis and intelligent prognostic assessment. Moreover

this article discusses the research progress and prospects of medical artificial intelligence

and provides references for future research in order to accelerate the digitization of medical resources

save medical costs

and improve medical efficiency.

关键词

Keywords

references

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