AIMC Topic: Liver

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Comment on "Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms".

Revista da Associacao Medica Brasileira (1992) Aug 1, 2022
Artificial Intelligence Algorithms Humans Liver
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Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

World journal of gastroenterology Jun 14, 2022
BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for screening and monitoring, but associated diagnoses are highly subjective.
Fatty Liver Liver Non-alcoholic Fatty Liver Disease Deep Learning ROC Curve Elasticity Imaging Techniques Retrospective Studies Humans Reproducibility of Results
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Deep learning Mueller matrix feature retrieval from a snapshot Stokes image.

Optics express Mar 14, 2022
A Mueller matrix (MM) provides a comprehensive representation of the polarization properties of a complex medium and encodes very rich information on the macro- and microstructural features. Histopathological features can be characterized by polariza...
Breast Spectrum Analysis Deep Learning Liver
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Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging.

Investigative radiology Dec 1, 2021
OBJECTIVES: Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blurring; however, it exacerbates noise and introduces severe artifacts due to undersampling. Deep neural networks can remove artifacts and noise but usu...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Retrospective Studies Female Respiration Liver Artifacts
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End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ultrasound, the moving of some organs, e.g., liver and kidney, can be modeled as rigid motion. Therefore, when the ultrasound probe keeps stationary, ...
Ultrasonography Liver Neural Networks, Computer
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Emerging artificial intelligence applications in liver magnetic resonance imaging.

World journal of gastroenterology Oct 28, 2021
Chronic liver diseases (CLDs) are becoming increasingly more prevalent in modern society. The use of imaging techniques for early detection, such as magnetic resonance imaging (MRI), is crucial in reducing the impact of these diseases on healthcare s...
Liver Humans Artificial Intelligence Algorithms Magnetic Resonance Imaging Machine Learning
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[Application of Deep Learning Reconstruction Algorithm in Low-Dose Thin-Slice Liver CT of Healthy Volunteers].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Sep 1, 2021
OBJECTIVE: To explore the clinical feasibility of applying deep learning (DL) reconstruction algorithm in low-dose thin-slice liver CT examination of healthy volunteers by comparing the reconstruction algorithm based on DL, filtered back projection (...
Healthy Volunteers Humans Radiation Dosage Tomography, X-Ray Computed Deep Learning Algorithms Liver Radiographic Image Interpretation, Computer-Assisted
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Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.

The British journal of radiology Jul 1, 2021
OBJECTIVE: This study aimed to conduct objective and subjective comparisons of image quality among abdominal computed tomography (CT) reconstructions with deep learning reconstruction (DLR) algorithms, model-based iterative reconstruction (MBIR), and...
Aged Aged, 80 and over Male Middle Aged Adult Retrospective Studies Tomography, X-Ray Computed Radiography, Abdominal Female Liver Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Contrast Media Artifacts
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Radiomics and deep learning in liver diseases.

Journal of gastroenterology and hepatology Mar 1, 2021
Recently, radiomics and deep learning have gained attention as methods for computerized image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks using high-dimensional image-derived features and have the potential to exp...
Liver Deep Learning Image Processing, Computer-Assisted Humans Liver Diseases Fibrosis Prognosis Radiology
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Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Journal of gastroenterology and hepatology Mar 1, 2021
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...
Forecasting Non-alcoholic Fatty Liver Disease Electronic Health Records Decision Trees Logistic Models Liver Cirrhosis Diagnostic Imaging Neural Networks, Computer Liver Humans Biopsy Artificial Intelligence
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