Application of artificial intelligence in chronic liver diseases: a systematic review and meta-analysis

Applying Machine Learning in Liver Disease & Transplantation: A Comprehensive Review

(2020) Ashley Spann et al.   HEPATOLOGY

The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

(2020) Sadaf G Sepanlou et al.   Lancet Gastroenterology & Hepatology

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology

(2020) Khoschy Schawkat et al.   EUROPEAN RADIOLOGY

Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network

(2019) Jeong Hyun Lee et al.   EUROPEAN RADIOLOGY

Detecting liver fibrosis using a machine learning‐based approach to the quantification of the heart‐induced deformation in tagged MR images

(2019) Yasmine Ahmed et al.   NMR IN BIOMEDICINE

Application of Artificial Intelligence to Gastroenterology and Hepatology

(2019) Catherine Le Berre et al.   GASTROENTEROLOGY

Deep learning for staging liver fibrosis on CT: a pilot study

(2018) Koichiro Yasaka et al.   EUROPEAN RADIOLOGY

Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy

(2018) Gregor Urban et al.   GASTROENTEROLOGY

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

(2018) Kun Wang et al.   GUT

Data Mining and Machine Learning Algorithms Using IL28B Genotype and Biochemical Markers Best Predicted Advanced Liver Fibrosis in Chronic Hepatitis C

(2018) Hend Ibrahim Shousha et al.   JAPANESE JOURNAL OF INFECTIOUS DISEASES

Global epidemiology of non-alcoholic fatty liver disease/non-alcoholic steatohepatitis: What we need in the future

(2018) Ana Ruth Araújo et al.   LIVER INTERNATIONAL

Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid–enhanced Hepatobiliary Phase MR Images

(2018) Koichiro Yasaka et al.   RADIOLOGY

Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis

(2018) Wei Li et al.   EUROPEAN RADIOLOGY

Burden of Liver Diseases in the World

(2018) Sumeet K. Asrani et al.   JOURNAL OF HEPATOLOGY

Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent–enhanced CT Images in the Liver

(2018) Kyu Jin Choi et al.   RADIOLOGY

Optical classification of neoplastic colorectal polyps – a computer-assisted approach (the COACH study)

(2018) Janis Renner et al.   SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY

Diagnostic value of combined serum biomarkers for the evaluation of liver fibrosis in chronic hepatitis C infection: A multicenter, noninterventional, observational study

(2018) Iftihar Koksal et al.   Turkish Journal of Gastroenterology

Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images

(2018) Michał Byra et al.   International Journal of Computer Assisted Radiology and Surgery

Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning

(2018) Runmin Wei et al.   EBioMedicine

Changes in the Prevalence of Hepatitis C Virus Infection, Nonalcoholic Steatohepatitis, and Alcoholic Liver Disease Among Patients With Cirrhosis or Liver Failure on the Waitlist for Liver Transplantation

(2017) David Goldberg et al.   GASTROENTEROLOGY

American Gastroenterological Association Institute Technical Review on the Role of Elastography in Chronic Liver Diseases

(2017) Siddharth Singh et al.   GASTROENTEROLOGY

Comparison of laboratory tests, ultrasound, or magnetic resonance elastography to detect fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis

(2017) Guangqin Xiao et al.   HEPATOLOGY

Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease

(2017) Chris Estes et al.   HEPATOLOGY

Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization

(2017) Venkatanareshbabu Kuppili et al.   JOURNAL OF MEDICAL SYSTEMS

Diagnostic Accuracy of Real-Time Tissue Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

(2014) Kunio Kobayashi et al.   EUROPEAN RADIOLOGY

Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis-4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infection: A systemic review and meta-analysis

(2014) Guangqin Xiao et al.   HEPATOLOGY

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography

(2012) Li Zhang et al.   BMC Medical Informatics and Decision Making

All-cause mortality in people with cirrhosis compared with the general population: a population-based cohort study

(2011) Kate M. Fleming et al.   LIVER INTERNATIONAL

Identification of the risk for liver fibrosis on CHB patients using an artificial neural network based on routine and serum markers

(2010) Danan Wang et al.   BMC INFECTIOUS DISEASES

Elastography for the diagnosis of severity of fibrosis in chronic liver disease: A meta-analysis of diagnostic accuracy

(2010) E.A. Tsochatzis et al.   JOURNAL OF HEPATOLOGY

A Novel Method for Diagnosing Cirrhosis in Patients with Chronic Hepatitis B: Artificial Neural Network Approach

(2009) Mohammad Reza Raoufy et al.   JOURNAL OF MEDICAL SYSTEMS

Performance of Transient Elastography for the Staging of Liver Fibrosis: A Meta-Analysis

(2008) Mireen Friedrich–Rust et al.   GASTROENTEROLOGY