Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma

J Calderaro, TP Seraphin, T Luedde, TG Simon - Journal of hepatology, 2022 - Elsevier
Hepatocellular carcinoma (HCC) currently represents the fifth most common malignancy and
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …

Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma

E Harding‐Theobald, J Louissaint… - Alimentary …, 2021 - Wiley Online Library
Background Advances in imaging technology have the potential to transform the early
diagnosis and treatment of hepatocellular carcinoma (HCC) through quantitative image …

Predicting microvascular invasion in hepatocellular carcinoma using CT-based radiomics model

T **a, Z Zhou, X Meng, J Zha, Q Yu, W Wang, Y Song… - Radiology, 2023 - pubs.rsna.org
Background Prediction of microvascular invasion (MVI) may help determine treatment
strategies for hepatocellular carcinoma (HCC). Purpose To develop a radiomics approach …

[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …

A Bakrania, N Joshi, X Zhao, G Zheng, M Bhat - Pharmacological research, 2023 - Elsevier
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …

Advances in liver US, CT, and MRI: moving toward the future

F Vernuccio, R Cannella, TV Bartolotta, M Galia… - European radiology …, 2021 - Springer
Over the past two decades, the epidemiology of chronic liver disease has changed with an
increase in the prevalence of nonalcoholic fatty liver disease in parallel to the advent of …

Radiomics in medical imaging: pitfalls and challenges in clinical management

R Fusco, V Granata, G Grazzini, S Pradella… - Japanese journal of …, 2022 - Springer
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …

Artificial intelligence: a review of current applications in hepatocellular carcinoma imaging

A Pellat, M Barat, R Coriat, P Soyer, A Dohan - … and Interventional Imaging, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …

Biomarkers for the early detection of hepatocellular carcinoma

ND Parikh, AS Mehta, AG Singal, T Block… - … Biomarkers & Prevention, 2020 - AACR
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, and
the cancer with the fastest increase in mortality in the United States, with more than 39,000 …

[HTML][HTML] Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review

MJ Pérez, RG Grande - World journal of gastroenterology, 2020 - ncbi.nlm.nih.gov
Although artificial intelligence (AI) was initially developed many years ago, it has
experienced spectacular advances over the last 10 years for application in the field of …

Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI

D Caruso, M Polici, M Zerunian, F Pucciarelli, G Guido… - Cancers, 2021 - mdpi.com
Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …