Liver fibrosis progression analyzed with AI predicts renal decline

The study shows that liver fibrosis progression assessed by qFibrosis may be associated with renal function decline, which provides a new perspective for understanding complex pathological processes. A combination of artificial intelligence and digital pathology may earlier and more precisely quantify the progression of regional liver fibrosis, thus better identifying changes in renal function. This opens the possibility of early interventions, which are essential to improve patients' outcomes.

Authors

Institutions

Publication Details

Journal
JHEP Reports
Published
2025-02-12
DOI
https://doi.org/10.1016/j.jhepr.2025.101358
Citations
7
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
9.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Liver fibrosis progression analyzed with AI predicts renal decline

Sui‐Dan Chen, Hai‐Yang Yuan, Lai Wei, Yayun Ren et al.
7 citations
JHEP Reports
Liver Disease Diagnosis and Treatment
9.48
article

Liver fibrosis progression analyzed with AI predicts renal decline

Sui‐Dan Chen, Hai‐Yang Yuan, Lai Wei, Yayun Ren, Ming‐Hua Zheng, Dan‐Qin Sun, Hong You, Arun Jayant Sanyal, Giovanni Targher, Dean Tai, Christopher D. Byrne, Yangyang Li, Xiaodong Wang, Xinlei Wang, Vincent Wai‐Sun Wong, Jiaqi Shen, Pei‐Wu Zhu, Xiaofei Tong
article en
7 citations

Abstract

The study shows that liver fibrosis progression assessed by qFibrosis may be associated with renal function decline, which provides a new perspective for understanding complex pathological processes. A combination of artificial intelligence and digital pathology may earlier and more precisely quantify the progression of regional liver fibrosis, thus better identifying changes in renal function. This opens the possibility of early interventions, which are essential to improve patients' outcomes.

JHEP ReportsVol. 7(5)
Jiangnan University (CN), University of Verona (IT), Chinese University of Hong Kong (HK), Capital Medical University (CN), Virginia Commonwealth University (US), Nantong University (CN), Wenzhou Medical University (CN), Southampton General Hospital (GB), First Affiliated Hospital of Wenzhou Medical University (CN), University Hospital Southampton NHS Foundation Trust (GB), Ospedale Sacro Cuore Don Calabria (IT), Wuxi No.2 People's Hospital (CN), Beijing Friendship Hospital (CN), Beijing Tsinghua Chang Gung Hospital (CN), Histoindex (Singapore) (SG), University of Southampton (GB), Tsinghua University (CN)
National Institute for Health and Care Research, National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Science and Technology Major Project, National Institute for Health Research Southampton Biomedical Research Centre
Openalex Percentile: Top 2%
Liver Disease Diagnosis and Treatment
9.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.