AIMC Topic: Liver

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ASO Author Reflections: The Role of the Robot in Liver Surgery: An Evolution in Progress.

Annals of surgical oncology Aug 19, 2020
Robotics Robotic Surgical Procedures Hepatectomy Humans Liver
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Multi-to-binary network (MTBNet) for automated multi-organ segmentation on multi-sequence abdominal MRI images.

Physics in medicine and biology Aug 19, 2020
Fully convolutional neural network (FCN) has achieved great success in semantic segmentation. However, the performance of the FCN is generally compromised for multi-object segmentation. Multi-organ segmentation is very common while challenging in the...
Humans Abdomen Magnetic Resonance Imaging Liver Automation Spleen Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Kidney
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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Coronary Vessels Middle Aged Fatty Liver Female Clinical Trials, Phase III as Topic Risk Assessment Humans Liver Risk Factors United States National Cancer Institute (U.S.) Lung Machine Learning Male Randomized Controlled Trials as Topic Emphysema Lung Neoplasms Mass Screening Retrospective Studies Cardiovascular Diseases Radiographic Image Interpretation, Computer-Assisted Early Detection of Cancer Tomography, X-Ray Computed Cigarette Smoking
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Histomorphological investigation of intrahepatic connective tissue for surgical anatomy based on modern computer imaging analysis.

Journal of hepato-biliary-pancreatic sciences Jul 22, 2020
BACKGROUND/PURPOSE: Computer-assisted tissue imaging and analytical techniques were used to clarify the histomorphological structure of hepatic connective tissue as a practical guide for surgeons.
Connective Tissue Artificial Intelligence Computers Humans Imaging, Three-Dimensional Liver
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Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Laboratory investigation; a journal of technical methods and pathology Jul 13, 2020
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, patholo...
Radiographic Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Humans Software Algorithms Deep Learning Fatty Liver Liver Biopsy
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Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients.

EMBO molecular medicine Jun 24, 2020
Baricitinib is an oral Janus kinase (JAK)1/JAK2 inhibitor approved for the treatment of rheumatoid arthritis (RA) that was independently predicted, using artificial intelligence (AI) algorithms, to be useful for COVID-19 infection via proposed anti-c...
Betacoronavirus Pneumonia, Viral Azetidines Protein Kinase Inhibitors Purines Spheroids, Cellular Intracellular Signaling Peptides and Proteins Protein Serine-Threonine Kinases Drug Repositioning Leukocytes Sulfonamides Drug Evaluation, Preclinical Coronavirus Infections COVID-19 Drug Treatment Pyrazoles Male Pandemics Middle Aged COVID-19 Antiviral Agents Cytokines Female Liver Humans SARS-CoV-2 Artificial Intelligence Aged Adult
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Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study.

Genome biology Jun 19, 2020
Despite the success and fast adaptation of deep learning models in biomedical domains, their lack of interpretability remains an issue. Here, we introduce Enhanced Integrated Gradients (EIG), a method to identify significant features associated with ...
Liver Mice, Knockout RNA Splicing Animals Deep Learning Computational Biology
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Assessing the Robustness of Frequency-Domain Ultrasound Beamforming Using Deep Neural Networks.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 15, 2020
We study training deep neural network (DNN) frequency-domain beamformers using simulated and phantom anechoic cysts and compare to training with simulated point target responses. Using simulation, physical phantom, and in vivo scans, we find that tra...
Phantoms, Imaging Male Humans Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Liver Algorithms Cysts Adult
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Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Machine Learning Animals Male Protein Binding Rats Rats, Sprague-Dawley Liver Blood Proteins Humans Microsomes, Liver Administration, Intravenous Pharmaceutical Preparations Hepatocytes Plasma Dogs Permeability Metabolic Clearance Rate Models, Biological Pharmacokinetics Membranes, Artificial Madin Darby Canine Kidney Cells
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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...
Humans Computer Simulation Liver Bayes Theorem Drug-Related Side Effects and Adverse Reactions Drug Approval Machine Learning Software Algorithms Databases, Factual Chemical and Drug Induced Liver Injury Databases, Pharmaceutical Biopharmaceutics
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