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Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings

Cheng-Xu Li Wen-Min Fei Chang-Bing Shen Zi-Yi Wang Yan Jing Ru-Song Meng Yong Cui

中华医学杂志（英文版）2020，Vol.133Issue(17)：2020-2026,7.

中华医学杂志（英文版）2020，Vol.133Issue(17)：2020-2026,7.DOI:10.1097/CM9.0000000000001002

Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings

Cheng-Xu Li ¹Wen-Min Fei ²Chang-Bing Shen ¹Zi-Yi Wang ²Yan Jing ¹Ru-Song Meng ²Yong Cui³

作者信息

1. Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China
2. Graduate School, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
3. Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife and Harvard Medical School, Boston, MA, USA
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摘要

关键词

Artificial intelligence/Skin tumor/Diagnostic accuracy

Key words

Artificial intelligence/Skin tumor/Diagnostic accuracy

引用本文复制引用

Cheng-Xu Li,Wen-Min Fei,Chang-Bing Shen,Zi-Yi Wang,Yan Jing,Ru-Song Meng,Yong Cui..Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings[J].中华医学杂志（英文版）,2020,133(17):2020-2026,7.

基金项目

This study was supported by grants from the Fundamental Research Funds for the Central Universities (No.3332019163),and the Beijing Municipal Science and Technology Commission Medicine Collaborative Science and Technology Innovation Research Project (No.Z191100007719001). （No.3332019163）

中华医学杂志（英文版）

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ISSN：0366-6999

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