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

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

IntroductionThe 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.MethodsIn t...

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Bibliographic Details
Main Authors: Hao Li, Xiang Tao, Tuo Liang, Jie Jiang, Jichong Zhu, Shaofeng Wu, Liyi Chen, Zide Zhang, Chenxing Zhou, Xuhua Sun, Shengsheng Huang, Jiarui Chen, Tianyou Chen, Zhen Ye, Wuhua Chen, Hao Guo, Yuanlin Yao, Shian Liao, Chaojie Yu, Binguang Fan, Yihong Liu, Chunai Lu, Junnan Hu, Qinghong Xie, Xiao Wei, Cairen Fang, Huijiang Liu, Chengqian Huang, Shixin Pan, Xinli Zhan, Chong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Public Health
Subjects:
artificial intelligence
deep learning
machine learning
ankylosing spondylitis
pelvic radiograph
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1063633/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1063633/full

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