Application of artificial intelligence for the diagnosis and treatment of liver diseases
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
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 …
with clinical applications progressively being explored for most of the medical specialties …
[HTML][HTML] Treatment of liver fibrosis: Past, current, and future
Liver fibrosis accompanies the progression of chronic liver diseases independent of
etiologies, such as hepatitis viral infection, alcohol consumption, and metabolic-associated …
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 …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
[HTML][HTML] Artificial intelligence in gastroenterology and hepatology: Status and challenges
Abstract Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has
achieved a breakthrough and revolutionized the processing methods of clinical medicine …
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
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 …
(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
Chronic liver diseases, resulting from chronic injuries of various causes, lead to cirrhosis
with life-threatening complications including liver failure, portal hypertension, hepatocellular …
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 …
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 …
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 …
diseases, the data required for medical care are becoming complex, and misinterpretation of …