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人工智能处理医学数据伦理要求的专家共识

Translated title of the contribution: Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data
  • 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*
*Corresponding author for this work
  • 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.

Research output: Contribution to journalArticlepeer-review

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.

Translated title of the contributionExpert consensus on ethical requirements for artificial intelligence (AI) processing medical data
Original languageChinese (Traditional)
Pages (from-to)937-942
Number of pages6
JournalActa Physiologica Sinica
Volume76
Issue number6
DOIs
StatePublished - Dec 2024

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