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CHAI:2023可信医疗AI实施指导和保障蓝图(中译版)(25页).pdf

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1、NAME OF DOCUMENT BLUEPRINT FOR TRUSTWORTHY AI IMPLEMENTATION GUIDANCE AND ASSURANCE FOR HEALTHCARE COALITION FOR HEALTH AI VERSION 1.0 _ APRIL 04,2023 1 ACKNOWLEDGEMENTS Information presented is a summary of information from discussions from a group of subject matter experts from healthcare and othe

2、r industries in a series of virtual workgroup meetings and convenings funded by the Gordon and Betty Moore Foundation and conducted in collaboration with the Partnership on AI(PAI),and the Coalition for Health AI(CHAI)Steering Committee,notably including leadership from:University of California Berk

3、eley;University of California Health;University of California San Francisco;University of California Office of the President;Duke Health;Google;Johns Hopkins University;Mayo Clinic;Microsoft;MITRE;Optum;SAS;Data Science Team,Stanford Medicine;Vanderbilt University Medical Center as well as US Federa

4、l Observers from the Agency for Healthcare Research and Quality(AHRQ);Centers for Medicare&Medicaid Services(CMS);US Food and Drug Administration(FDA);the Office of the National Coordinator in Health Information Technology(ONC);the National Institutes of Health(NIH);and the White House Office of Sci

5、ence and Technology Policy(OSTP).We would like to thank all contributors and participants in these ongoing discussions for their thoughtful input and feedback.The following are copyrights and recognitions with regards to the Blueprint for Trustworthy AI Implementation Guidance and Assurance for Heal

6、thcare.2023 The MITRE Corporation.All Rights Reserved.Approved for Public Release,Distribution Unlimited.Case 23-00098-1 Copyright Duke University 2023.All rights reserved.Discussion and refinement toward a blueprint for an implementation guidance for health artificial intelligence(AI)are ongoing an

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本文主要讨论了在医疗保健领域实施可信人工智能(AI)的指导原则和保证措施。文章首先指出,医疗保健领域对AI的应用具有巨大的潜力,但同时也存在增加患者风险和加剧偏见的风险。因此,迫切需要一个关注医疗保健影响的框架,以确保AI在医疗保健中的使用对所有人群都有益,包括服务不足和代表性不足的社区。 文章提出了七个关键的可信AI要素:有用性、安全性、可问责性和透明度、可解释性和可解释性、公平性、安全性和弹性、隐私增强。每个要素都旨在确保AI在医疗保健中的使用是有效的、可靠的、可测试的、可用的、有益的、安全的、可问责的和透明的、可解释和可解释的、公平的、安全的和增强隐私的。 文章还讨论了下一步的行动计划,包括建立保证实验室和咨询服务的基础设施,将可信AI系统制度化,以及激励愿意的联盟。这些措施旨在确保AI在医疗保健中的使用是可信的,并促进其负责任的使用。
如何在医疗AI中实现公平性? 如何确保医疗AI系统的安全性? 如何提高医疗AI系统的可解释性?
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