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Comprehensive guidelines for establishing sample diversity and data sufficiency in artificial intelligence diagnostic datasets for cervical liquid-based cytology

Zhejiang Society for Mathematical Medicine Artificial Intelligence Medical Device Innovation Cooperation Platform Data Governance Working Group of the Center for Medical Device Evaluation,National Medical Products Administration Haimiao Xu Mulan Jin

Intelligent Oncology2026，Vol.2Issue(3)：P.76-84,9.

Intelligent Oncology2026，Vol.2Issue(3)：P.76-84,9.DOI:10.1016/j.intonc.2026.100072

Comprehensive guidelines for establishing sample diversity and data sufficiency in artificial intelligence diagnostic datasets for cervical liquid-based cytology

Zhejiang Society for Mathematical Medicine ¹Artificial Intelligence Medical Device Innovation Cooperation Platform Data Governance Working Group of the Center for Medical Device Evaluation,National Medical Products Administration ¹Haimiao Xu ²Mulan Jin³

作者信息

2. Zhejiang Cancer Hospital
3. Beijing Chao-yang Hospital,Capital Medical University
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摘要

关键词

Cervical cytology dataset design/Cervical cancer screening/Data sufficiency standards/Cytology AI clinical validation/Algorithmic bias mitigation/The Bethesda System

分类

医药卫生

引用本文复制引用

Zhejiang Society for Mathematical Medicine,Artificial Intelligence Medical Device Innovation Cooperation Platform Data Governance Working Group of the Center for Medical Device Evaluation,National Medical Products Administration,Haimiao Xu,Mulan Jin..Comprehensive guidelines for establishing sample diversity and data sufficiency in artificial intelligence diagnostic datasets for cervical liquid-based cytology[J].Intelligent Oncology,2026,2(3):P.76-84,9.

Intelligent Oncology

ISSN：2097-7131

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