Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
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 …
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] Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology
CD Christou, G Tsoulfas - World journal of gastroenterology, 2021 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …
Machine learning (ML) refers to a model that learns from past data to predict future data …
[HTML][HTML] Assessment of portal hypertension severity using machine learning models in patients with compensated cirrhosis
Background & Aims In individuals with compensated advanced chronic liver disease
(cACLD), the severity of portal hypertension (PH) determines the risk of decompensation …
(cACLD), the severity of portal hypertension (PH) determines the risk of decompensation …
Diagnosis and management of esophagogastric varices
Acute variceal bleeding (AVB) is a potentially fatal complication of clinically significant portal
hypertension and is one of the most common causes of acute upper gastrointestinal …
hypertension and is one of the most common causes of acute upper gastrointestinal …
Identifying predictors of varices grading in patients with cirrhosis using ensemble learning
Objectives The present study was conducted to improve the performance of predictive
methods by introducing the most important factors which have the highest effects on the …
methods by introducing the most important factors which have the highest effects on the …
Automated multimodal machine learning for esophageal variceal bleeding prediction based on endoscopy and structured data
Y Wang, Y Hong, Y Wang, X Zhou, X Gao, C Yu… - Journal of Digital …, 2023 - Springer
Esophageal variceal (EV) bleeding is a severe medical emergency related to cirrhosis. Early
identification of cirrhotic patients with at a high risk of EV bleeding is key to improving …
identification of cirrhotic patients with at a high risk of EV bleeding is key to improving …
[HTML][HTML] Spleen volume-based non-invasive tool for predicting hepatic decompensation in people with compensated cirrhosis (CHESS1701)
Q Yu, C Xu, Q Li, Z Ding, Y Lv, C Liu, Y Huang, J Zhou… - JHEP Reports, 2022 - Elsevier
Abstract Background & Aims Non-invasive stratification of the liver decompensation risk
remains unmet in people with compensated cirrhosis. This study aimed to develop a non …
remains unmet in people with compensated cirrhosis. This study aimed to develop a non …