Harnessing the potential of artificial intelligence in managing viral hepatitis

G Ali, MM Mijwil, I Adamopoulos… - … Journal of Big Data, 2024 - mesopotamian.press
Viral hepatitis continues to be a serious global health concern, impacting millions of people,
putting a strain on healthcare systems across the world, and causing significant morbidity …

Noninvasive tests for liver fibrosis in 2024: are there different scales for different diseases?

JCT Lai, LY Liang, GLH Wong - Gastroenterology Report, 2024 - academic.oup.com
Liver fibrosis is the common pathway from various chronic liver diseases and its progression
leads to cirrhosis which carries a significant risk for the development of portal hypertension …

Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease

MO Edeh, S Dalal, IB Dhaou, CC Agubosim… - Frontiers in Public …, 2022 - frontiersin.org
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …

A Liver Stiffness–Based Etiology-Independent Machine Learning Algorithm to Predict Hepatocellular Carcinoma

H Lin, G Li, A Delamarre, SH Ahn, X Zhang… - Clinical …, 2024 - Elsevier
Background & Aims The existing hepatocellular carcinoma (HCC) risk scores have modest
accuracy, and most are specific to chronic hepatitis B infection. In this study, we developed …

Time and dose-dependent effect of systemic glucocorticoids on major adverse cardiovascular event in patients with rheumatoid arthritis: a population-based study

H So, TO Lam, H Meng, SHM Lam, LS Tam - Annals of the Rheumatic …, 2023 - Elsevier
Objectives Cardiovascular event (CVE) risk in rheumatoid arthritis (RA) was increased by
glucocorticoids (GC) use. Whether there is a threshold dose and duration of GC use beyond …

Hepatocellular Carcinoma Prediction in HCV Patients using Machine Learning and Deep Learning Techniques

F Saeed, A Shiwlani, M Umar… - Jurnal Ilmiah …, 2025 - ejurnal.snn-media.com
Hepatitis C virus is the root cause of 78% of hepato-cellular carcinoma cases.
Hepatocellular carcinoma (HCC) represents one of the primary causes of liver cancer …

Current status and analysis of machine learning in hepatocellular carcinoma

S Feng, J Wang, L Wang, Q Qiu… - Journal of clinical …, 2023 - pmc.ncbi.nlm.nih.gov
Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment
of HCC have made great progress, the overall prognosis remains poor. As the core …

Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature

OP Chatzipanagiotou, C Loukas… - Journal of …, 2024 - Wiley Online Library
Abstract Background and Aim Hepatocellular carcinoma (HCC) diagnosis mainly relies on
its pathognomonic radiological profile, obviating the need for biopsy. The project of …

[HTML][HTML] A novel image-based machine learning model with superior accuracy and predictability for knee arthroplasty loosening detection and clinical decision making

LCM Lau, ECS Chui, GCW Man, Y **n, KKW Ho… - Journal of Orthopaedic …, 2022 - Elsevier
Background Loosening is the leading cause of total knee arthroplasty (TKA) revision. This is
a heavy burden toward the healthcare system owing to the difficulty in diagnosis and …

Opportunities and challenges for the application of artificial intelligence paradigms into the management of endemic viral infections: The example of Chronic Hepatitis …

AN Farrag, AM Kamel… - Reviews in medical …, 2024 - Wiley Online Library
Despite the advent of direct‐acting antiviral agents (DAAs) as a definitive therapy for chronic
hepatitis C virus (HCV) infection, the burden of the disease remains globally elevated. The …