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An artificial intelligence and blockchain technology-based data management framework for multicenter randomized controlled trials 被引量:1
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作者 Dongyuan Yun Xiaohang Wu +29 位作者 Xi Chen Yahan Yang Yuanjun Shang Shaopeng Liu Dinesh Visva Gunasekeran Duoru Lin Lixue Liu Lanqin Zhao Wenben Chen Jingjing Chen Ling Jin Yuxuan Wu Jiaming Hong weiling hu Zhenzhe Lin Carol Y.Cheung Xiang Chen Peichen Xie Zhenzhen Liu Changhai Ding Patrick Yu-Wai-Man Keming Yu Daniel Shu Wei Ting Yizhi Liu Zibin Zheng Gansen Zhao Zhihua Xia Tien Yin Wong Haotian Lin on behalf of Advanced Technologies Improve Clinical Trial(ATICT)Group 《Science Bulletin》 2025年第6期856-860,共5页
Randomized controlled trials(RCTs)provide optimal evidence of the effectiveness and safety of a new drug,a new medical device,or a new therapeutic strategy with the necessary scientific design[1].Traditional electroni... Randomized controlled trials(RCTs)provide optimal evidence of the effectiveness and safety of a new drug,a new medical device,or a new therapeutic strategy with the necessary scientific design[1].Traditional electronic data collection(EDC)systems for clinical trials primarily focus on data entry,validation,and compliance monitoring.However,their reliance on centralized architectures introduces vulnerabilities in data security and integrity。 展开更多
关键词 Artificial Intelligence Multicenter Randomized Controlled Trials Data Security scientific design traditional Blockchain Technology clinical trials randomized controlled trials rcts provide centralized architectures
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