AIMC Topic: Liver

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A deep learning framework for personalised dynamic diagnosis of graft fibrosis after liver transplantation: a retrospective, single Canadian centre, longitudinal study.

The Lancet. Digital health May 18, 2023
BACKGROUND: Recurrent graft fibrosis after liver transplantation can threaten both graft and patient survival. Therefore, early detection of fibrosis is essential to avoid disease progression and the need for retransplantation. Non-invasive blood-bas...
Fibrosis Canada Liver Cirrhosis Liver Liver Transplantation Longitudinal Studies Male Deep Learning Female Adult Humans Retrospective Studies
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[Efficacy of robot-guided vs. open liver resection].

Chirurgie (Heidelberg, Germany) May 17, 2023
Abdomen Hepatectomy Robotics Liver
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Virtual Screening of Nrf2 Dietary-Derived Agonists and Safety by a New Deep-Learning Model and Verified and .

Journal of agricultural and food chemistry May 17, 2023
Nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is an essential regulatory target of antioxidants, but the lack of Nrf2 active site information has hindered discovery of new Nrf2 agonists from food-derived compounds by large-scale virtual screenin...
Diet Deep Learning Oxidative Stress Animals Liver Carbon Tetrachloride NF-E2-Related Factor 2 Antioxidants Rats
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Gender-specific data-driven adiposity subtypes using deep-learning-based abdominal CT segmentation.

Obesity (Silver Spring, Md.) May 8, 2023
OBJECTIVE: The aim of this study was to quantify abdominal adiposity and generate data-driven adiposity subtypes with different diabetes risks.
Adiposity Intra-Abdominal Fat Obesity Obesity, Abdominal Tomography, X-Ray Computed Female Humans Deep Learning Liver Male
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[Robotics in Liver Surgery - Tips and Tricks].

Zentralblatt fur Chirurgie May 2, 2023
Since minimally invasive liver surgery has proven benefits over open surgery, this technique should also be implemented more broadly in Germany. With the dramatic development in minimally invasive and robotic liver surgery, this approach has been est...
Humans Robotics Laparoscopy Robotic Surgical Procedures Artificial Intelligence Liver
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Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Apr 26, 2023
BACKGROUND: Fatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magnetic resonance imaging (MRI) is the diagnostic modality of choice for measuring pancreatic fat. Measurements typically use regions of interest limited ...
Liver Pancreatic Diseases Pancreas Male Magnetic Resonance Imaging Artificial Intelligence Humans Tomography, X-Ray Computed
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Artificial Intelligence Applications in Hepatology.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Apr 22, 2023
Over the past 2 decades, the field of hepatology has witnessed major developments in diagnostic tools, prognostic models, and treatment options making it one of the most complex medical subspecialties. Through artificial intelligence (AI) and machine...
Algorithms Gastroenterology Liver Humans Artificial Intelligence Machine Learning
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Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images.

Genes Apr 16, 2023
Polyploidy, the duplication of the entire genome within a single cell, is a significant characteristic of cells in many tissues, including the liver. The quantification of hepatic ploidy typically relies on flow cytometry and immunofluorescence (IF) ...
Hematoxylin Liver Polyploidy Ploidies Eosine Yellowish-(YS) Humans Deep Learning
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The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.

European radiology Apr 4, 2023
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.
Humans Retrospective Studies Liver Non-alcoholic Fatty Liver Disease Protons Male Deep Learning Magnetic Resonance Imaging Young Adult Adult
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Hepatic vessels segmentation using deep learning and preprocessing enhancement.

Journal of applied clinical medical physics Mar 18, 2023
PURPOSE: Liver hepatic vessels segmentation is a crucial step for the diagnosis process in patients with hepatic diseases. Segmentation of liver vessels helps to study the liver internal segmental anatomy that helps in the preoperative planning of su...
Abdomen Deep Learning Humans Liver Image Processing, Computer-Assisted Neural Networks, Computer
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