Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

(2021) Rikiya Yamashita et al.   Scientific Reports

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Deep Learning With 3D Convolutional Neural Network for Noninvasive Prediction of Microvascular Invasion in Hepatocellular Carcinoma

(2021) Yongxin Zhang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters

(2021) Danjun Song et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

Molecular markers of response to anti-PD1 therapy in advanced hepatocellular carcinoma.

(2021) Philipp K. Haber et al.   JOURNAL OF CLINICAL ONCOLOGY

Predicting survival after hepatocellular carcinoma resection using deep‐learning on histological slides

(2020) Charlie Saillard et al.   HEPATOLOGY

Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

(2020) Mohamed Marouf et al.   Nature Communications

Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma

(2020) Richard S. Finn et al.   NEW ENGLAND JOURNAL OF MEDICINE

Prognostic analysis of histopathological images using pre-trained convolutional neural networks: application to hepatocellular carcinoma

(2020) Liangqun Lu et al.   PeerJ

Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol

(2020) Wenqi Shi et al.   Abdominal Radiology

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data

(2020) Shi-hui Zhen et al.   Frontiers in Oncology

Association of inflammatory biomarkers with clinical outcomes in nivolumab-treated patients with advanced hepatocellular carcinoma

(2020) Bruno Sangro et al.   JOURNAL OF HEPATOLOGY

Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology

(2020) Sandip Kumar Patel et al.   Frontiers in Pharmacology

Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study

(2020) Qi Yang et al.   EBioMedicine

Deep learning‐based classification and mutation prediction from histopathological images of hepatocellular carcinoma

(2020) Haotian Liao et al.   Clinical and Translational Medicine

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning

(2020) Mingyu Chen et al.   npj Precision Oncology

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

(2020) Yi-Quan Jiang et al.   JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY

Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning

(2020) Akira Saito et al.   MODERN PATHOLOGY

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

(2020) Xiaoxuan Liu et al.   NATURE MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

(2020) Samantha Cruz Rivera et al.   NATURE MEDICINE

Tumor Vascular Networks Depicted in Contrast-Enhanced Ultrasound Images as a Predictor for Transarterial Chemoembolization Treatment Response

(2020) Ipek Oezdemir et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Novel Model to Predict HCC Recurrence after Liver Transplantation Obtained Using Deep Learning: A Multicenter Study

(2020) Joon Yeul Nam et al.   Cancers

Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib

(2020) Lei Zhang et al.   Frontiers in Oncology

Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis

(2020) George N. Ioannou et al.   JAMA Network Open

Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma

(2020) Paul Johannet et al.   CLINICAL CANCER RESEARCH

Single-Cell Spatial Analysis of Tumor and Immune Microenvironment on Whole-Slide Image Reveals Hepatocellular Carcinoma Subtypes

(2020) Haiyue Wang et al.   Cancers

Single-cell RNA-seq denoising using a deep count autoencoder

(2019) Gökcen Eraslan et al.   Nature Communications

Diagnosis of focal liver lesions from ultrasound using deep learning

(2019) B. Schmauch et al.   Diagnostic and Interventional Imaging

Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy

(2019) Lianlian Wu et al.   GUT

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Selecting precise reference normal tissue samples for cancer research using a deep learning approach

(2019) William Z. D. Zeng et al.   BMC Medical Genomics

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

(2019) Charlie A. Hamm et al.   EUROPEAN RADIOLOGY

Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

(2019) Clinton J. Wang et al.   EUROPEAN RADIOLOGY

Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging

(2019) Jie Peng et al.   EUROPEAN RADIOLOGY

Molecular and histological correlations in liver cancer

(2019) Julien Calderaro et al.   JOURNAL OF HEPATOLOGY

A human liver cell atlas reveals heterogeneity and epithelial progenitors

(2019) Nadim Aizarani et al.   NATURE

Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

(2019) Jakob Nikolas Kather et al.   NATURE MEDICINE

Automatic classification of focal liver lesions based on MRI and risk factors

(2019) Mariëlle J. A. Jansen et al.   PLoS One

Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules

(2019) Fatima-Zohra Mokrane et al.   EUROPEAN RADIOLOGY

Landscape of Intercellular Crosstalk in Healthy and NASH Liver Revealed by Single-Cell Secretome Gene Analysis

(2019) Xuelian Xiong et al.   MOLECULAR CELL

Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma

(2019) Qiming Zhang et al.   CELL

Resolving the fibrotic niche of human liver cirrhosis at single-cell level

(2019) P. Ramachandran et al.   NATURE

Exploring single-cell data with deep multitasking neural networks

(2019) Matthew Amodio et al.   NATURE METHODS

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study

(2019) Gu-Wei Ji et al.   EBioMedicine

A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

(2018) Le-Hang Guo et al.   CLINICAL HEMORHEOLOGY AND MICROCIRCULATION

Worldwide incidence of hepatocellular carcinoma cases attributable to major risk factors

(2018) Aileen Baecker et al.   EUROPEAN JOURNAL OF CANCER PREVENTION

Diagnosis, Staging and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases

(2018) Jorge A. Marrero et al.   HEPATOLOGY

Macrotrabecular-massive hepatocellular carcinoma: A distinctive histological subtype with clinical relevance

(2018) Marianne Ziol et al.   HEPATOLOGY

EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma

(2018) Peter R. Galle et al.   JOURNAL OF HEPATOLOGY

Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept

(2018) Aaron Abajian et al.   JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY

Focal Liver Lesions: Computer-aided Diagnosis by Using Contrast-enhanced US Cine Recordings

(2018) Casey N. Ta et al.   RADIOLOGY

Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study

(2018) Koichiro Yasaka et al.   RADIOLOGY

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

(2018) Grzegorz Chlebus et al.   Scientific Reports

AASLD guidelines for the treatment of hepatocellular carcinoma

(2017) Julie K. Heimbach et al.   HEPATOLOGY

Histological subtypes of hepatocellular carcinoma are related to gene mutations and molecular tumour classification

(2017) Julien Calderaro et al.   JOURNAL OF HEPATOLOGY

Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data

(2017) Cheng Jia et al.   NUCLEIC ACIDS RESEARCH

Data Sharing

(2016) Howard Bauchner et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Integrated genome and transcriptome sequencing of the same cell

(2015) Siddharth S Dey et al.   NATURE BIOTECHNOLOGY

G&T-seq: parallel sequencing of single-cell genomes and transcriptomes

(2015) Iain C Macaulay et al.   NATURE METHODS

Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer

(2015) Edward B. Garon et al.   NEW ENGLAND JOURNAL OF MEDICINE

Nivolumab versus Docetaxel in Advanced Nonsquamous Non–Small-Cell Lung Cancer

(2015) Hossein Borghaei et al.   NEW ENGLAND JOURNAL OF MEDICINE

Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression

(2015) Jong Kyoung Kim et al.   Nature Communications

Epidemiology of hepatocellular carcinoma in the United States: Where are we? Where do we go?

(2014) Hashem B. El-Serag et al.   HEPATOLOGY

Bayesian approach to single-cell differential expression analysis

(2014) Peter V Kharchenko et al.   NATURE METHODS

Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

(2013) Amit G Singal et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Neural Network Evaluation of PET Scans of the Liver: A Potentially Useful Adjunct in Clinical Interpretation

(2011) Ori Preis et al.   RADIOLOGY

CT and MRI Improve Detection of Hepatocellular Carcinoma, Compared With Ultrasound Alone, in Patients With Cirrhosis

(2010) Nam C. Yu et al.   Clinical Gastroenterology and Hepatology

Improved Survival with Ipilimumab in Patients with Metastatic Melanoma

(2010) F. Stephen Hodi et al.   NEW ENGLAND JOURNAL OF MEDICINE

Detection of focal liver lesions: from the subjectivity of conventional ultrasound to the objectivity of volume ultrasound

(2009) F. Vecchiato et al.   Radiologia Medica