Latest AI and machine learning research in liver transplantation for healthcare professionals.
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...
The study by Huang , published in the , advances intrahepatic cholangiocarcinoma (ICC) management by...
The study by Huang , published in the , advances intrahepatic cholangiocarcinoma (ICC) management by...
AIM: This case series aimed to explore the occurrence of synchronous hepatocellular carcinoma (HCC) ...
BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential revers...
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...
Chronic hepatitis B (CHB) infection represents a significant global public health issue, often leadi...
BACKGROUND: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is increasing a...
Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Al...
BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoim...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global h...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogeneous disease caused b...
BACKGROUND: At present, there are no specialized models for predicting mortality risk in patients wi...
Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However,...
BACKGROUND: Necroptosis, a recently identified mechanism of programmed cell death, exerts significan...
This letter comments on the article that developed and tested a machine learning model that predicts...
The gut microbiota plays a vital role in human health, and significant effort has been made to predi...
We sought to develop and validate a machine learning (ML) model for predicting multidimensional frai...
Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterize...
Purpose To evaluate the performance of an automated deep learning method in detecting ascites and su...
OBJECTIVE: Most cases of hepatocellular carcinoma (HCC) arise as a consequence of cirrhosis. In this...