Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021 - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

[HTML][HTML] Treatment of liver fibrosis: Past, current, and future

CY Zhang, S Liu, M Yang - World Journal of Hepatology, 2023 - ncbi.nlm.nih.gov
Liver fibrosis accompanies the progression of chronic liver diseases independent of
etiologies, such as hepatitis viral infection, alcohol consumption, and metabolic-associated …

HLA‐B* 35: 01 and green tea–induced liver injury

JH Hoofnagle, HL Bonkovsky, EJ Phillips, YJ Li… - Hepatology, 2021 - journals.lww.com
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

[HTML][HTML] Artificial intelligence in gastroenterology and hepatology: Status and challenges

JS Cao, ZY Lu, MY Chen, B Zhang… - World journal of …, 2021 - ncbi.nlm.nih.gov
Abstract Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has
achieved a breakthrough and revolutionized the processing methods of clinical medicine …

An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer

T He, JN Fong, LW Moore, CF Ezeana, D Victor… - … Medical Imaging and …, 2021 - Elsevier
Introduction Liver transplantation (LT) is an effective treatment for hepatocellular carcinoma
(HCC), the most common type of primary liver cancer. Patients with small HCC (< 5 cm) are …

Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease

J Dana, A Venkatasamy, A Saviano, J Lupberger… - Hepatology …, 2022 - Springer
Chronic liver diseases, resulting from chronic injuries of various causes, lead to cirrhosis
with life-threatening complications including liver failure, portal hypertension, hepatocellular …

Application of artificial intelligence for diagnosis and risk stratification in NAFLD and NASH: the state of the art

AM Dinani, KV Kowdley, M Noureddin - Hepatology, 2021 - journals.lww.com
The diagnosis of nonalcoholic fatty liver disease and associated fibrosis is challenging given
the lack of signs, symptoms and nonexistent diagnostic test. Furthermore, follow up and …

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology

K Schawkat, A Ciritsis, S von Ulmenstein… - European …, 2020 - Springer
Objectives To compare the diagnostic accuracy of texture analysis (TA)–derived parameters
combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated …

Artificial intelligence models for the diagnosis and management of liver diseases

N Nishida, M Kudo - Ultrasonography, 2022 - pmc.ncbi.nlm.nih.gov
With the development of more advanced methods for the diagnosis and treatment of
diseases, the data required for medical care are becoming complex, and misinterpretation of …