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放射学中的人工智能：是友还是敌？我们如今处于什么阶段，又将走向何方？

Artificial intelligence in radiology: friend or foe? Where are we now and where are we heading?

作者信息

Pakdemirli Emre

机构信息

West Hertfordshire Hospitals NHS Trust, St. Albans City Hospital, St. Albans, UK.

出版信息

Acta Radiol Open. 2019 Feb 21;8(2):2058460119830222. doi: 10.1177/2058460119830222. eCollection 2019 Feb.

DOI:10.1177/2058460119830222
PMID:30815280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6385326/
Abstract

The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in radiology. AI has also been the source of great innovation and a prominent topic of discussion within radiology societies and ground-breaking research in recent years. Despite the risks and quality assurance issues involved in AI, it offers tremendous opportunities for changing how radiological services are delivered. Moreover, it is conceivable that AI could become a reliable, hard-working friend to the radiologist rather than a foe, in addition to being a useful training tool for radiologist trainees.

摘要

人工智能（AI）在医学领域，尤其是放射学领域的应用一直在迅速发展。近年来，人工智能也是放射学领域重大创新的源泉、讨论的热门话题以及开创性研究的主题。尽管人工智能存在风险和质量保证问题，但它为改变放射学服务的提供方式提供了巨大机遇。此外，可以想象，人工智能除了成为放射科住院医师有用的培训工具外，还可能成为放射科医生可靠、勤奋的助手而非对手。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/009e/6385326/d972f9610ddb/10.1177_2058460119830222-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/009e/6385326/41e8322828e2/10.1177_2058460119830222-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/009e/6385326/d972f9610ddb/10.1177_2058460119830222-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/009e/6385326/41e8322828e2/10.1177_2058460119830222-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/009e/6385326/d972f9610ddb/10.1177_2058460119830222-fig2.jpg

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