Artificial Intelligence in Liver Diseases: Recent Advances

F Lu, Y Meng, X Song, X Li, Z Liu, C Gu, X Zheng… - Advances in …, 2024 - Springer
Liver diseases cause a significant burden on public health worldwide. In spite of great
advances during recent years, there are still many challenges in the diagnosis and treatment …

[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology

M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …

[HTML][HTML] Surgical Implications for Nonalcoholic Steatohepatitis-Related Hepatocellular Carcinoma

CR Anbarasu, S Williams-Perez, ER Camp, DJ Erstad - Cancers, 2024 - mdpi.com
Simple Summary Hepatocellular carcinoma (HCC) is an aggressive form of liver cancer that
arises in a background of chronic hepatic injury. Metabolic syndrome-associated fatty liver …

Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation

T Addissouky, MMA Ali, IET El Sayed… - Jurnal Online …, 2024 - join.if.uinsgd.ac.id
This study aims to provide an overview of the current state-of-the-art applications of artificial
intelligence (AI) and machine learning in the management of hepatocellular carcinoma …

[PDF][PDF] Artificial Intelligence-Driven Decision Support Systems for Improved Diagnosis and Treatment in Gastroenterology

MA Muzammil, IJ Mazhar, M Zohair… - Available at SSRN …, 2023 - researchgate.net
Artificial intelligence (AI) has revolutionized diagnosis and treatment in various medical
fields, including gastroenterology. This narrative study examines how AI-driven …

Precision Management of Patients with HBV Infection

CL Lin, JH Kao - Current Hepatology Reports, 2024 - Springer
Abstract Purpose of Review The strategies of precision management in chronic hepatitis B
(CHB) are focused on prediction and action. Currently, several hepatitis B viral biomarkers …

Using machine learning to predict significant fibrosis in metabolic dysfunction-associated steatotic liver disease-authors' reply

N Verma, A De, A Duseja - Alimentary Pharmacology & …, 2024 - lirias.kuleuven.be
BACKGROUND: The Rome Foundation Global Epidemiology Study (RFGES) found that
40.3% of adults in 26 internet-surveyed countries met Rome IV criteria for disorders of gut …

Clinical Liver Disease: Legacy of innovation in hepatology education

JK Lim - Clinical Liver Disease, 2024 - journals.lww.com
In February 2012, the American Association for the Study of Liver Diseases (AASLD)
launched Clinical Liver Disease (CLD) as “an official digital educational resource” that …

[HTML][HTML] Multidisciplinary approach for hepatocellular carcinoma patients: current evidence and future perspectives

JH Oh, DH Sinn - Journal of Liver Cancer, 2024 - synapse.koreamed.org
Management of hepatocellular carcinoma (HCC) is challenging due to the complex
relationship between underlying liver disease, tumor burden, and liver function. HCC is also …

Enhancement and Digitalization in Healthcare with “THE ARTIFICIAL INTELLIGENCE”

N Goel, P Saluja, A Dave, M Arora - Current Trends in Dentistry, 2024 - journals.lww.com
The present review aims at understanding artificial intelligence (AI) in general with special
emphasis on the enhancement and digitalization it brought in the various fields of …