AIMC Topic: Liver Cirrhosis

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Development of a Web Application based on Machine Learning for screening esophageal varices in cirrhosis.

La Tunisie medicale
INTRODUCTION: Esophageal varices (EV) are a common manifestation of portal hypertension in cirrhotic patients. Upper gastrointestinal endoscopy (UGE) is the gold standard for diagnosing EV. However, it is an invasive examination with a relatively hig...

Hepatic Hydrothorax Without Ascites: A Diagnostic And Management Challenge.

Journal of Ayub Medical College, Abbottabad : JAMC
Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with cirrhosis who does not have other reasons to have a pleural effusion (e.g., cardiac, pulmonary, or pleural disease). Hepatic hydrothorax occurs in ap...

Deep learning for assessing liver fibrosis based on acoustic nonlinearity maps: an in vivo study of rabbits.

Computer assisted surgery (Abingdon, England)
This study aimed to assess liver fibrosis in rabbits by deep learning models based on acoustic nonlinearity maps. Injection of carbon tetrachloride was used to induce liver fibrosis. Acoustic nonlinearity maps, which were built by data of echo signal...

Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.

The Lancet. Digital health
BACKGROUND: Cirrhosis is the result of advanced scarring (or fibrosis) of the liver, and is often diagnosed once decompensation with associated complications has occurred. Current non-invasive tests to detect advanced liver fibrosis have limited perf...

Development of the AI-Cirrhosis-ECG Score: An Electrocardiogram-Based Deep Learning Model in Cirrhosis.

The American journal of gastroenterology
INTRODUCTION: Cirrhosis is associated with cardiac dysfunction and distinct electrocardiogram (ECG) abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-relat...

Artificial Intelligence and the Risk for Intuition Decline in Clinical Medicine.

The American journal of gastroenterology
Artificial intelligence (AI) is revolutionizing big data analytics. In this issue of The American Journal of Gastroenterology, Ahn et al. introduce the AI-cirrhosis-electrocardiogram score that can grade the electrophysiologic cardiac changes present...

Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives.

Magnetic resonance imaging clinics of North America
Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic liver disease. Despite the clinical importance of hepatocellular carcinoma in the setting of chronic liver disease, we focus this review on AI models wh...

Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including healthcare applications. AI has brought many new insights into better ways we care for our patients with chronic liver disease, including non-alcoholic fatt...