STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability

STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability

Abstract Generative artificial intelligence (AI) holds immense potential for medical applications, but the lack of a comprehensive evaluation framework and methodological deficiencies in existing studies hinder its effective implementation. Standardized assessment guidelines are crucial for ensuring...

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Main Authors: Jinghong Chen, Lingxuan Zhu, Weiming Mou, Anqi Lin, Dongqiang Zeng, Chang Qi, Zaoqu Liu, Aimin Jiang, Bufu Tang, Wenjie Shi, Ulf D. Kahlert, Jianguo Zhou, Shipeng Guo, Xiaofan Lu, Xu Sun, Trunghieu Ngo, Zhongji Pu, Baolei Jia, Che Ok Jeon, Yongbin He, Haiyang Wu, Shuqin Gu, Wisit Cheungpasitporn, Haojie Huang, Weipu Mao, Shixiang Wang, Xin Chen, Loïc Cabannes, Gerald Sng Gui Ren, Iain S. Whitaker, Stephen Ali, Quan Cheng, Kai Miao, Shuofeng Yuan, Peng Luo
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:iMetaOmics
Subjects:
generative AI
medical and life science contexts
reliability
standardized assessment guidelines
Online Access:https://doi.org/10.1002/imo2.7
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https://doi.org/10.1002/imo2.7

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