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机器学习在医学中的应用：应对伦理挑战。

Machine learning in medicine: Addressing ethical challenges.

机构信息

Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Harvard Law School, Cambridge, Massachusetts, United States of America.

出版信息

PLoS Med. 2018 Nov 6;15(11):e1002689. doi: 10.1371/journal.pmed.1002689. eCollection 2018 Nov.

DOI:10.1371/journal.pmed.1002689
PMID:30399149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6219763/
Abstract

Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.

摘要

埃菲·瓦耶纳（Effy Vayena）和同事认为，医学领域的机器学习必须提供数据保护、算法透明度和问责制，才能赢得患者和临床医生的信任。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfd4/6219763/73412a330af0/pmed.1002689.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfd4/6219763/73412a330af0/pmed.1002689.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfd4/6219763/73412a330af0/pmed.1002689.g001.jpg

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Eur Radiol. 2019 Apr;29(4):1640-1646. doi: 10.1007/s00330-018-5601-1. Epub 2018 Jul 6.
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