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

LI Cong^1,2,3, ZHANG Xiao-Yan^1,4, WU Yun-Hong^1,2,3, YANG Xiao-Lei³, YU Hua-Rong^1,5, JIN Hong-Bo^1,6, LI Ying-Bo^1,5, ZHU Zhao-Hui^1,7, LIU Rui^1,8, LIU Na^1,9, XIE Yi^1,10, LYU Lin-Li^1,11, ZHU Xin-Hong^1,12, TANG Hong^1,13, LI Hong-Fang^1,14, LI Hong-Li^1,15, ZENG Xiang-Jun^1,16, CHEN Zai-Xing^1,2,17, FAN Xiao-Fang^1,18, WANG Yan^1,19, WU Zhi-Juan^1,20, WU Zun-Qiu^1,21, GUAN Ya-Qun^1,22, XUE Ming-Ming^1,23, LUO Bin^1,24, WANG Ai-Mei^1,2,25, YANG Xin-Wang^1,26, YING Ying^1,27, YANG Xiu-Hong^1,28, HUANG Xin-Zhong^1,29, LANG Ming-Fei^1,30, CHEN Shi-Min^1,31, ZHANG Huan-Huan^1,32, ZHANG Zhong^1,2,33, HUANG Wu^1,34, XU Guo-Biao^1,34, LIU Jia-Qi³⁵, SONG Tao³, XIAO Jing³, XIA Yun-Long³, GUAN You-Fei^3,*, ZHU Liang^1,2,3

¹Virtual Simulation and Artificial Intelligence Committee, Chinese Association for Physiological Sciences；²Liaoning Province Function Science Society, Dalian 116041, China；³Dalian Medical University, Dalian 116041, China；⁴East China Normal University, Shanghai 200241, China；⁵Chongqing Medical University, Chongqing 400016, China；⁶Function Science Experimental Teaching Center, Harbin Medical University, Harbin 150081, China；⁷Chinese Academy of Medical Sciences & Beijing Union Medical College, Beijing 100730, China；⁸Beihang University, Beijing 100191, China；⁹East Hospital Affiliated to Tongji University, Shanghai 200092, China；¹⁰West China Hospital of Sichuan University, Chengdu 610065, China；¹¹Southeast University, Nanjing 214135, China；¹²Artificial Intelligence and Digital Economy Guangdong Province Laboratory (Guangzhou), South China University of Technology, Guangzhou 510006, China；¹³Dalian University of Technology, Dalian 116024, China；¹⁴Lanzhou University, Lanzhou 730000, China；¹⁵Basic Medical Teaching Experimental Center, Army Medical University, Chongqing 400038, China；¹⁶Capital Medical University, Beijing 100069, China；¹⁷Medical Basic Experimental Teaching Center, China Medical University, Shenyang 110122, China；¹⁸Basic Medicine Experimental National Experimental Teaching Demonstration Center, Wenzhou Medical University, Wenzhou 325035, China；¹⁹Basic Medical College, Shanxi Medical University, Taiyuan 030001, China；²⁰Department of Physiology and Pathophysiology, Basic Medical College, Fujian Medical University, Fuzhou 350122, China；²¹Basic Medicine National Experimental Teaching Demonstration Center, Guizhou Medical University, Guiyang 550025, China；²²Basic Medical College, Xinjiang Medical University, Urumqi 830054, China；²³Inner Mongolia Medical University, Hohhot 010110, China；²⁴Basic Medical College, Guangxi Medical University, Nanning 530021, China；²⁵Jinzhou Medical University, Jinzhou 121001, China；²⁶Basic Medical College, Kunming Medical University, Kunming 650500, China；²⁷Shenzhen University Medical School, Shenzhen 518052, China；²⁸North China University of Science and Technology, Tangshan 063210, China；²⁹Affiliated Hospital of Nantong University, Nantong 226019, China；³⁰Basic Medical Experimental Teaching Center, Dalian University, Dalian 116622, China；³¹Hainan Medical University, Haikou 571199, China；³²Wannan Medical College, Wuhu 241002, China；³³Shenyang Medical College, Shenyang 110034, China；³⁴Chengdu Techman Software Co., Ltd., Chengdu 610101, China；³⁵Huawei Technologies Co., Ltd., Shenzhen 518000, China

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.

Key words: artificial intelligence; medical data; ethical safety

Received: 　　Accepted:

Corresponding author: 管又飞　　E-mail:

Citing This Article：

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. Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data. Acta Physiol Sin 2024; 76 (6): 937-942 (in Chinese with English abstract).