AIMC Topic: Liver

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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Software Algorithms Databases, Factual Computer Simulation Humans Drug Approval Machine Learning Liver Chemical and Drug Induced Liver Injury Bayes Theorem Databases, Pharmaceutical Drug-Related Side Effects and Adverse Reactions Biopharmaceutics
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Utilization of a Deep Learning Algorithm for Microscope-Based Fatty Vacuole Quantification in a Fatty Liver Model in Mice.

Toxicologic pathology Jun 8, 2020
Quantification of fatty vacuoles in the liver, with differentiation from lumina of liver blood vessels and bile ducts, is an example where the traditional semiquantitative pathology assessment can be enhanced with artificial intelligence (AI) algorit...
Vacuoles Deep Learning Artificial Intelligence Mice Machine Learning Microscopy Algorithms Disease Models, Animal Liver Image Interpretation, Computer-Assisted Animals Non-alcoholic Fatty Liver Disease
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Results of Green Indocyanine in the Use of the R1T1 Robot as Aid in the Pre-operative Process of Hepatic Organ Transplant: Experiment in Wistar Rats.

Transplantation proceedings May 24, 2020
Since the beginning of the history of transplants, numerous difficulties have been faced in the effective implementation of this therapeutic practice, especially with regard to the transplantation of solid organs and their teaching and training, toge...
Humans Animals Male Rats, Wistar Liver Transplantation Indocyanine Green Liver Function Tests Transplants Rats Liver Robotics
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Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.

Computers in biology and medicine May 16, 2020
INTRODUCTION: MRI T2* relaxometry protocols are often used for Liver Iron Quantification in patients with hemochromatosis. Several methods exist to semi-automatically segment parenchyma and exclude vessels for this calculation.
Liver Iron Calibration Neural Networks, Computer Magnetic Resonance Imaging Humans
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Developing a novel force forecasting technique for early prediction of critical events in robotics.

PloS one May 7, 2020
Safety critical events in robotic applications can often be characterized by forces between the robot end-effector and the environment. One application in which safe interaction between the robot and environment is critical is in the area of medical ...
Animals Swine Liver Humans Robotics Algorithms Models, Statistical Needles Machine Learning Injections Models, Biological Forecasting Gelatin Data Accuracy Cadaver Biomechanical Phenomena
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A Novel Radial Basis Neural Network-Leveraged Fast Training Method for Identifying Organs in MR Images.

Computational and mathematical methods in medicine May 5, 2020
We propose a new method for fast organ classification and segmentation of abdominal magnetic resonance (MR) images. Magnetic resonance imaging (MRI) is a new type of high-tech imaging examination fashion in recent years. Recognition of specific targe...
Support Vector Machine Computational Biology Image Interpretation, Computer-Assisted Humans Magnetic Resonance Imaging Kidney Organ Specificity Liver Neural Networks, Computer Abdomen Algorithms
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SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery.

Journal of biomedical informatics May 1, 2020
Laparoscopic liver surgery is challenging to perform because of compromised ability of the surgeon to localize subsurface anatomy due to minimal invasive visibility. While image guidance has the potential to address this barrier, intraoperative facto...
Neural Networks, Computer Image Processing, Computer-Assisted Liver
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Deep learning-based liver segmentation for fusion-guided intervention.

International journal of computer assisted radiology and surgery Apr 21, 2020
PURPOSE: Tumors often have different imaging properties, and there is no single imaging modality that can visualize all tumors. In CT-guided needle placement procedures, image fusion (e.g. with MRI, PET, or contrast CT) is often used as image guidanc...
Liver Multimodal Imaging Image-Guided Biopsy Humans Image Processing, Computer-Assisted Algorithms Deep Learning Magnetic Resonance Imaging Tomography, X-Ray Computed Liver Neoplasms
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Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.

European journal of nuclear medicine and molecular imaging Apr 20, 2020
PURPOSE: In selective internal radiation therapy (SIRT), an accurate total liver segmentation is required for activity prescription and absorbed dose calculation. Our goal was to investigate the feasibility of using automatic liver segmentation based...
Image Processing, Computer-Assisted Liver Tumor Burden Observer Variation Humans Neural Networks, Computer Deep Learning
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Biopsy Pathologists Supervised Machine Learning Azo Compounds Collagen Non-alcoholic Fatty Liver Disease Fibrosis Image Processing, Computer-Assisted Liver Cirrhosis Clinical Trials as Topic Liver Organ Dysfunction Scores Humans Automation Eosine Yellowish-(YS) Artificial Intelligence Portal Vein Methyl Green Severity of Illness Index Practice Patterns, Physicians'
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