[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

Q3 Medicine 生理学报 Pub Date : 2024-12-25
Cong Li, Xiao-Yan Zhang, Yun-Hong Wu, Xiao-Lei Yang, Hua-Rong Yu, Hong-Bo Jin, Ying-Bo Li, Zhao-Hui Zhu, Rui Liu, Na Liu, Yi Xie, Lin-Li Lyu, Xin-Hong Zhu, Hong Tang, Hong-Fang Li, Hong-Li Li, Xiang-Jun Zeng, Zai-Xing Chen, Xiao-Fang Fan, Yan Wang, Zhi-Juan Wu, Zun-Qiu Wu, Ya-Qun Guan, Ming-Ming Xue, Bin Luo, Ai-Mei Wang, Xin-Wang Yang, Ying Ying, Xiu-Hong Yang, Xin-Zhong Huang, Ming-Fei Lang, Shi-Min Chen, Huan-Huan Zhang, Zhong Zhang, Wu Huang, Guo-Biao Xu, Jia-Qi Liu, Tao Song, Jing Xiao, Yun-Long Xia, You-Fei Guan, Liang Zhu
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引用次数: 0

Abstract

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.

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[关于人工智能处理医疗数据的伦理要求的专家共识]。
随着人工智能技术的迅速发展,其在医疗领域的部署面临着重大的伦理挑战。因此,创建一个标准化、透明和安全的框架来处理医疗数据变得至关重要。这包括为医疗人工智能设定道德界限,保护患者权利和数据完整性。这种共识支配着通过人工智能处理医疗数据的各个方面,包括数据的收集、处理、存储、传输、利用和共享。其目的是确保医疗数据的管理符合道德标准和法律要求,同时保护患者隐私和数据安全。同时,强调遵守法律、尊重患者隐私、保护患者利益以及安全可靠的原则。关键问题,如知情同意,数据使用,知识产权保护,利益冲突和利益分享进行了深入研究。制定这一专家共识旨在促进人工智能在医疗领域的深度融合和可持续发展,同时确保人工智能在医疗数据处理过程中严格遵守相关的道德规范和法律框架。
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来源期刊
生理学报
生理学报 Medicine-Medicine (all)
CiteScore
1.20
自引率
0.00%
发文量
4820
期刊介绍: Acta Physiologica Sinica (APS) is sponsored by the Chinese Association for Physiological Sciences and Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences (CAS), and is published bimonthly by the Science Press, China. APS publishes original research articles in the field of physiology as well as research contributions from other biomedical disciplines and proceedings of conferences and symposia of physiological sciences. Besides “Original Research Articles”, the journal also provides columns as “Brief Review”, “Rapid Communication”, “Experimental Technique”, and “Letter to the Editor”. Articles are published in either Chinese or English according to authors’ submission.
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