Development of fully automated models for staging liver fibrosis using non-contrast MRI and artificial intelligence: a retrospective multicenter studyResearch in context

Summary: Background: Accurate staging of liver fibrosis (LF) is essential for clinical management in chronic liver disease. While non-contrast MRI (NC-MRI) yields valuable information for liver assessment, its effectiveness in predicting LF remains underexplored. This study aimed to develop and val...

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Detalhes bibliográficos

Principais autores:	Chunli Li, Yuan Wang, Ruobing Bai, Zhiyong Zhao, Wenjuan Li, Qianqian Zhang, Chaoya Zhang, Wei Yang, Qi Liu, Na Su, Yueyue Lu, Xiaoli Yin, Fan Wang, Chengli Gu, Aoran Yang, Baihe Luo, Minghui Zhou, Liuhanxu Shen, Chen Pan, Zhiying Wang, Qijun Wu, Jiandong Yin, Yang Hou, Yu Shi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-11-01
coleção:	EClinicalMedicine
Assuntos:	Liver fibrosis Non-contrast MRI Artificial intelligence Multicenter study
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2589537024004607
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