Artificial intelligence in medical image processing: progress and prospect

Yi WU; Xiaoqin ZHANG

doi:10.16016/j.1000-5404.202106194

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Artificial intelligence in medical image processing: progress and prospect

Monographic Reports: Digital medicine and artificial intelligence | 更新时间：2026-01-09

- Artificial intelligence in medical image processing: progress and prospect
- Journal of Third Military Medical University Vol. 43, Issue 18, Pages: 1707-1712(2021)
- 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：
- 基金信息：
  
  the National Natural Science Foundation of China(31971113);the Project of Basic Research and Frontier Exploration of Chongqing(cstc2018jcyjAX0537);the Outstanding Young Elite Project of Chongqing(CQYC201905037)
- DOI：10.16016/j.1000-5404.202106194
  CLC： R318.5;R319
- Received：24 June 2021，
  
  Revised：2021-07-11，
  
  Published：30 September 2021
- 稿件说明：
移动端阅览
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：

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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