Li Cong, Zhang Xiao-Yan, Wu Yun-Hong, Yang Xiao-Lei, Yu Hua-Rong, Jin Hong-Bo, Li Ying-Bo, Zhu Zhao-Hui, Liu Rui, Liu Na, Xie Yi, Lyu Lin-Li, Zhu Xin-Hong, Tang Hong, Li Hong-Fang, Li Hong-Li, Zeng Xiang-Jun, Chen Zai-Xing, Fan Xiao-Fang, Wang Yan, Wu Zhi-Juan, Wu Zun-Qiu, Guan Ya-Qun, Xue Ming-Ming, Luo Bin, Wang Ai-Mei, Yang Xin-Wang, Ying Ying, Yang Xiu-Hong, Huang Xin-Zhong, Lang Ming-Fei, Chen Shi-Min, Zhang Huan-Huan, Zhang Zhong, Huang Wu, Xu Guo-Biao, Liu Jia-Qi, Song Tao, Xiao Jing, Xia Yun-Long, Guan You-Fei, Zhu Liang
Virtual Simulation and Artificial Intelligence Committee, Chinese Association for Physiological Sciences.
Liaoning Province Function Science Society, Dalian 116041, China.
Sheng Li Xue Bao. 2024 Dec 25;76(6):937-942.
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.
随着人工智能技术的迅速发展,其在医疗领域的应用带来了重大的伦理挑战。因此,为医疗数据处理创建一个标准化、透明且安全的框架变得至关重要。这包括设定医疗人工智能的伦理界限,保护患者权利和数据完整性。这一共识指导着通过人工智能进行医疗数据处理的各个方面,包括数据收集、处理、存储、传输、使用和共享。其目的是确保医疗数据的管理符合伦理标准和法律要求,同时保护患者隐私和数据安全。同时,强调了守法、尊重患者隐私、保护患者利益以及安全可靠等原则。深入探讨了诸如知情同意、数据使用、知识产权保护、利益冲突和利益共享等关键问题。本专家共识的制定旨在促进人工智能在医疗领域的深度融合与可持续发展,同时确保人工智能在处理医疗数据时严格遵守相关伦理规范和法律框架。