AIMC Topic: Fatty Liver
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Early and accurate diagnosis of steatotic liver by artificial intelligence (AI)-supported ultrasonography.
European journal of internal medicine
Mar 14, 2024
OBJECTIVES: Steatotic liver disease is the most frequent chronic liver disease worldwide. Ultrasonography (US) is commonly employed for the assessment and diagnosis. Few information is available on the possible use of artificial intelligence (AI) to ...
Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model.
Scientific reports
Mar 11, 2024
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by lipid accumulation, inflammation and fibrosis. The development of MASH therapies has been hindered by the lack of human translational models and limita...
Image-based AI diagnostic performance for fatty liver: a systematic review and meta-analysis.
BMC medical imaging
Dec 11, 2023
BACKGROUND: The gold standard to diagnose fatty liver is pathology. Recently, image-based artificial intelligence (AI) has been found to have high diagnostic performance. We systematically reviewed studies of image-based AI in the diagnosis of fatty ...
A novel multi-feature learning model for disease diagnosis using face skin images.
Computers in biology and medicine
Dec 10, 2023
BACKGROUND: Facial skin characteristics can provide valuable information about a patient's underlying health conditions.
Improved assessment of donor liver steatosis using Banff consensus recommendations and deep learning algorithms.
Journal of hepatology
Nov 29, 2023
BACKGROUND & AIMS: The Banff Liver Working Group recently published consensus recommendations for steatosis assessment in donor liver biopsy, but few studies reported their use and no automated deep-learning algorithms based on the proposed criteria ...
Deep Learning-Based Survival Analysis for Receiving a Steatotic Donor Liver Versus Waiting for a Standard Liver.
Transplantation proceedings
Oct 22, 2023
BACKGROUND: An emerging strategy to expand the donor pool is the use of a steatotic donor liver (SDLs; ≥ 30% macrosteatosis on biopsy). With the obesity epidemic and prevalence of nonalcoholic fatty liver disease, SDLs have been reported in 59% of al...
Editorial Comment: Hepatic Steatosis-Contrast-Enhanced CT Is a Leading Mark.
AJR. American journal of roentgenology
Jul 26, 2023
Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV.
Pharmacoepidemiology and drug safety
Jun 8, 2023
PURPOSE: Hepatic steatosis (fatty liver disease) affects 25% of the world's population, particularly people with HIV (PWH). Pharmacoepidemiologic studies to identify medications associated with steatosis have not been conducted because methods to eva...
Parallelized ultrasound homodyned-K imaging based on a generalized artificial neural network estimator.
Ultrasonics
Mar 20, 2023
The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical model for ultrasound tissue characterization, whose parameters are of physical meaning. To estimate the HK parameters is an inverse problem, and is quite compli...
Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
EBioMedicine
Oct 26, 2022
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based hepatic fat assessment (DeHFt) pipeline for (a) more standardised measurements and (...
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