[HTML][HTML] Prevalence and modes of transmission of hepatitis C virus infection: a historical worldwide review
T Stroffolini, G Stroffolini - Viruses, 2024 - mdpi.com
Hepatitis C virus infection affects over 58 million individuals and is responsible for 290,000
annual deaths. The infection spread in the past via blood transfusion and iatrogenic …
annual deaths. The infection spread in the past via blood transfusion and iatrogenic …
Harnessing the Potential of Artificial Intelligence in Managing Viral Hepatitis
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 …
putting a strain on healthcare systems across the world, and causing significant morbidity …
Prospective Evaluation of Machine Learning for Public Health Screening: Identifying Unknown Hepatitis C Carriers
N Dagan, O Magen, M Leshchinsky, M Makov-Assif… - NEJM AI, 2024 - ai.nejm.org
Background Compared with traditional population-wide screening approaches, screening
based on machine-learning models enables the targeted identification of high-risk …
based on machine-learning models enables the targeted identification of high-risk …
Opportunities and challenges for the application of artificial intelligence paradigms into the management of endemic viral infections: The example of Chronic Hepatitis …
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 …
hepatitis C virus (HCV) infection, the burden of the disease remains globally elevated. The …
An Automated Method for Classifying Liver Lesions in Contrast-Enhanced Ultrasound Imaging Based on Deep Learning Algorithms
Background: Contrast-enhanced ultrasound (CEUS) is an important imaging modality in the
diagnosis of liver tumors. By using contrast agent, a more detailed image is obtained. Time …
diagnosis of liver tumors. By using contrast agent, a more detailed image is obtained. Time …
Deep learning algorithms in the automatic segmentation of liver lesions in ultrasound investigations
Background: The ultrasound is one of the most used medical imaging investigations
worldwide. It is non-invasive and effective in assessing liver tumors or other types of …
worldwide. It is non-invasive and effective in assessing liver tumors or other types of …
Distributed Deep Learning Model for Predicting the Risk of Diabetes, Trained on Imbalanced Dataset
When developing and training a deep learning model, usually the dataset is balanced and
contains approximately the same number of samples for each class. However, in some …
contains approximately the same number of samples for each class. However, in some …
Artificial intelligence in hepatitis and chronic liver disease
A Hamid, G Sulabh, V Kumar - Nanobiotechnology and Artificial …, 2024 - iopscience.iop.org
Artificial intelligence in hepatitis and chronic liver disease - Book chapter - IOPscience Skip to
content IOP Science home Accessibility Help Search Journals Journals list Browse more than …
content IOP Science home Accessibility Help Search Journals Journals list Browse more than …
Ethical challenges and transformative potential: examining the impact of artificial intelligence on patient care, data security, and the healthcare workforce in Romania
S Fitzek - Jurnalul Practicilor Comunitare Pozitive, 2024 - ceeol.com
The integration of artificial intelligence (AI) into healthcare holds immense potential for
transforming diagnostic, prognostic, and therapeutic approaches, particularly in addressing …
transforming diagnostic, prognostic, and therapeutic approaches, particularly in addressing …