医学
肝纤维化
领域(数学)
算法
纤维化
人工智能
病理
数学
计算机科学
纯数学
作者
Li‐Da Chen,Ze-Rong Huang,Hong Yang,Mei-Qing Cheng,Hang-Tong Hu,Xiao-Zhou Lu,Ming‐De Li,Rui-Fang Lu,Dan-Ni He,Peng Lin,Qiuping Ma,Hui Huang,Si‐Min Ruan,Wei-Ping Ke,Bing Liao,Bihui Zhong,Jie Ren,Ming‐De Lu,Xiaoyan Xie,Wei Wang
出处
期刊:Radiology
[Radiological Society of North America]
日期:2024-04-01
卷期号:311 (1): e231461-e231461
被引量:16
标识
DOI:10.1148/radiol.231461
摘要
A sequential algorithm combining the noninvasive tests Fibrosis-4 Index (FIB-4) and a US deep learning (DL) model showed higher diagnostic accuracy and improved referral management for all-cause advanced liver fibrosis compared with FIB-4 or the DL model alone.
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