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人工智能处理医学数据伦理要求的专家共识

  • 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*
*此作品的通讯作者
  • Chinese Association for Physiological Sciences
  • Liaoning Province Function Science Society
  • Dalian Medical University
  • Chongqing Medical University
  • Harbin Medical University
  • Chinese Academy of Medical Sciences
  • Beihang University
  • Tongji University
  • Sichuan University
  • Southeast University, Nanjing
  • South China University of Technology
  • Dalian University of Technology
  • Lanzhou University
  • Army Medical University
  • Capital Medical University
  • China Medical University
  • Wenzhou Medical University
  • Shanxi Medical University
  • Fujian Medical University
  • Guizhou Medical University
  • Xinjiang Medical University
  • Inner Mongolia Medical University
  • Guangxi Medical University
  • Jinzhou Medical University
  • Kunming Medical College
  • Shenzhen University
  • North China University of Science and Technology
  • Nantong University
  • Dalian University
  • Hainan Medical University
  • Wannan Medical College
  • Shenyang Medical College
  • Chengdu Techman Software Co.,Ltd
  • Huawei Technologies Co., Ltd.

科研成果: 期刊稿件文章同行评审

摘要

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.

投稿的翻译标题Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data
源语言繁体中文
页(从-至)937-942
页数6
期刊Acta Physiologica Sinica
76
6
DOI
出版状态已出版 - 12月 2024

关键词

  • artificial intelligence
  • ethical safety
  • medical data

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