AIMC Topic: Liver Cirrhosis
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Deep learning quantification reveals a fundamental prognostic role for ductular reaction in biliary atresia.
Hepatology communications
Dec 1, 2023
BACKGROUND: We aimed to quantify ductular reaction (DR) in biliary atresia using a neural network in relation to underlying pathophysiology and prognosis.
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023).
Computer methods and programs in biomedicine
Nov 22, 2023
BACKGROUND AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a common liver disease with a rapidly growing incidence worldwide. For prognostication and therapeutic decisions, it is important to distinguish the pathological stages of NAFLD:...
Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.
Abdominal radiology (New York)
Nov 10, 2023
PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with advancements in medical technology and increasing awareness of potential complications, the reliance on liver biopsy has diminished. Ultrasound is gai...
An uncertainty aided framework for learning based livermapping and analysis.
Physics in medicine and biology
Nov 1, 2023
. QuantitativeT1ρimaging has potential for assessment of biochemical alterations of liver pathologies. Deep learning methods have been employed to accelerate quantitativeT1ρimaging. To employ artificial intelligence-based quantitative imaging methods...
Curcumin Modulates NOX Gene Expression and ROS Production via P-Smad3C in TGF-β-Activated Hepatic Stellate Cells.
Iranian biomedical journal
Oct 28, 2023
BACKGROUND: Liver fibrosis, associated with hepatic stellate cells (HSCs), occurs when a healthy liver sustains damage, thereby impairing its function. NADPH oxidases (NOXs), specifically isoforms 1, 2, and 4, play a role in reactive oxygen species (...
Shear wave elastography-based deep learning model for prognosis of patients with acutely decompensated cirrhosis.
Journal of clinical ultrasound : JCU
Oct 26, 2023
PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D) shear wave elastography (SWE) for predicting prognosis in patients with acutely decompensated cirrhosis.
Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography Scans.
Clinical and translational gastroenterology
Oct 1, 2023
INTRODUCTION: Undiagnosed cirrhosis remains a significant problem. In this study, we developed and tested an automated liver segmentation tool to predict the presence of cirrhosis in a population of patients with paired liver biopsy and computed tomo...
Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection.
Clinical and molecular hepatology
Aug 29, 2023
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is paramount for effective management. This study aimed to evaluate the prognostic value of computed tomography (CT) analysis using deep learning algorith...
AutoFibroNet: A deep learning and multi-photon microscopy-derived automated network for liver fibrosis quantification in MAFLD.
Alimentary pharmacology & therapeutics
Jul 4, 2023
BACKGROUND: Liver fibrosis is the strongest histological risk factor for liver-related complications and mortality in metabolic dysfunction-associated fatty liver disease (MAFLD). Second harmonic generation/two-photon excitation fluorescence (SHG/TPE...
Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.
Medicina (Kaunas, Lithuania)
May 21, 2023
The development of liver fibrosis as a consequence of continuous inflammation represents a turning point in the evolution of chronic liver diseases. The recent developments of artificial intelligence (AI) applications show a high potential for impro...
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