Comprehensive AI-assisted tool for ankylosing spondylitis based on multicenter research outperforms human experts

INTRODUCTION: The diagnosis and treatment of ankylosing spondylitis (AS) is a difficult task, especially in less developed countries without access to experts. To address this issue, a comprehensive artificial intelligence (AI) tool was created to help diagnose and predict the course of AS. METHODS:...

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Detalles Bibliográficos
Autores principales: Li, Hao, Tao, Xiang, Liang, Tuo, Jiang, Jie, Zhu, Jichong, Wu, Shaofeng, Chen, Liyi, Zhang, Zide, Zhou, Chenxing, Sun, Xuhua, Huang, Shengsheng, Chen, Jiarui, Chen, Tianyou, Ye, Zhen, Chen, Wuhua, Guo, Hao, Yao, Yuanlin, Liao, Shian, Yu, Chaojie, Fan, Binguang, Liu, Yihong, Lu, Chunai, Hu, Junnan, Xie, Qinghong, Wei, Xiao, Fang, Cairen, Liu, Huijiang, Huang, Chengqian, Pan, Shixin, Zhan, Xinli, Liu, Chong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947660/
https://www.ncbi.nlm.nih.gov/pubmed/36844823
http://dx.doi.org/10.3389/fpubh.2023.1063633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947660/
https://www.ncbi.nlm.nih.gov/pubmed/36844823
http://dx.doi.org/10.3389/fpubh.2023.1063633

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