AIMC Topic: Liver

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Using Artificial Intelligence Chatbots as a Radiologic Decision-Making Tool for Liver Imaging: Do ChatGPT and Bard Communicate Information Consistent With the ACR Appropriateness Criteria?

Journal of the American College of Radiology : JACR Jul 28, 2023
Artificial Intelligence Abdomen Liver
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Global trends in robotic liver surgery: From bibliometrics and visualization research.

Asian journal of surgery Jul 19, 2023
Robotics Robotic Surgical Procedures Bibliometrics Liver Humans Abdomen
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Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data.

AJR. American journal of roentgenology Jul 19, 2023
The confounder-corrected chemical shift-encoded MRI (CSE-MRI) sequence used to determine proton density fat fraction (PDFF) for hepatic fat quantification is not widely available. As an alternative, hepatic fat can be assessed by a two-point Dixon m...
Middle Aged Deep Learning Adult Male Non-alcoholic Fatty Liver Disease Protons Magnetic Resonance Imaging Liver Humans Prospective Studies Female Aged Retrospective Studies
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Transfer-learning is a key ingredient to fast deep learning-based 4D liver MRI reconstruction.

Scientific reports Jul 11, 2023
Time-resolved volumetric magnetic resonance imaging (4D MRI) could be used to address organ motion in image-guided interventions like tumor ablation. Current 4D reconstruction techniques are unsuitable for most interventional settings because they ar...
Humans Radionuclide Imaging Pharmaceutical Vehicles Liver Deep Learning Radiography Magnetic Resonance Imaging
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Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data.

Chemical research in toxicology Jul 6, 2023
Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds that disrupt the function of these organelles can lead to serious side effects, including liver injury and cardiotoxicity. Different in vitro assays exist to ...
Mitochondria Mitochondrial Membranes Reproducibility of Results Liver Machine Learning
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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...
Humans Adult Deep Learning Biopsy Liver Cirrhosis Non-alcoholic Fatty Liver Disease Liver Microscopy
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Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions - A comparative study on generalizability.

Zeitschrift fur medizinische Physik Jun 22, 2023
Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities. In recent years, various neural network-based approaches for medical image registration have been ...
Humans Neural Networks, Computer Deep Learning Imaging, Three-Dimensional Tomography, X-Ray Computed Liver Image Processing, Computer-Assisted Multimodal Imaging Magnetic Resonance Imaging
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Robotic versus laparoscopic versus open major hepatectomy - an analysis of costs and postoperative outcomes in a single-center setting.

Langenbeck's archives of surgery May 29, 2023
PURPOSE: In the era of minimal-invasive surgery, the introduction of robotic liver surgery (RS) was accompanied by concerns about the increased financial expenses of the robotic technique in comparison to the established laparoscopic (LS) and convent...
Robotic Surgical Procedures Robotics Humans Hepatectomy Laparoscopy Liver
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Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models.

The American journal of pathology May 24, 2023
The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide, along with obesity. Therefore, novel methods to both efficiently study the manifestation of nonalcoholic fatty liver disease and to analyze drug eff...
Disease Models, Animal Liver Algorithms Deep Learning Neural Networks, Computer Non-alcoholic Fatty Liver Disease Mice Animals
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Deep Learning-Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory-Triggering Acquisitions.

Investigative radiology May 19, 2023
OBJECTIVES: Deep learning-reconstructed diffusion-weighted imaging (DL-DWI) is an emerging promising time-efficient method for liver evaluation, but analyses regarding different motion compensation strategies are lacking. This study evaluated the qua...
Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Reproducibility of Results Liver Deep Learning Respiration Abdomen Humans
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