Current status and challenges of artificial intelligence industrialization in medical imaging

XIAO Yi; LIU Shiyuan

doi:10.19732/j.cnki.2096-6210.2019.03.001

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Current status and challenges of artificial intelligence industrialization in medical imaging

更新时间：2025-12-15

- Current status and challenges of artificial intelligence industrialization in medical imaging
- Vol. 28, Issue 3, Pages: 129-133(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2019.03.001
  CLC：
- Published Online：19 July 2019，
  
  Published：19 July 2019
- 稿件说明：
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萧毅,刘士远. 医学影像人工智能产业化的现状及面临的挑战[J]. 肿瘤影像学, 2019, 28(3): 129-133 https://doi.

org/10.19732/j.cnki.2096-6210.2019.03.001
萧毅,刘士远. 医学影像人工智能产业化的现状及面临的挑战[J]. 肿瘤影像学, 2019, 28(3): 129-133 https://doi. DOI： 10.19732/j.cnki.2096-6210.2019.03.001.

org/10.19732/j.cnki.2096-6210.2019.03.001 DOI：

摘要

人工智能（artificial intelligence，AI）技术的探索及应用受到全球各国的高度关注，该文旨在对AI在医学影像领域的发展做一分析和展望。文章总结了医学影像AI产业化在政策层面、技术层面、需求层面及经济环境等多个方面的优势，并分析了其产业化之后可能对医疗模式带来的种种变化。同时该文也理性地指出了AI产业化在技术落地、盈利模式的突破及市场竞争等多个方面存在挑战。希望各界人士能够共同积极拥抱新技术，共同推动医学影像AI产业良性、快速地发展。

Abstract

Artificial intelligence (AI) technology has gained attention from most countries all around the world. This article is written to summarize the current development of AI technology used for medical imaging applications. The article has listed several advantages of medical imaging AI products

including related government policies

technology framework

clinical needs and the economic environment. It also shows the possible changes of clinical working style after the complete commercialization of medical imaging AI products. On the other side

it also points out challenges for AI

such as application details in the product research and development process

the profiting problem and competition between AI companies. All over

people from different professional fields are all welcome to try the new technology and give a fast and healthy promotion of the development of medical imaging AI products.

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