AIMC Topic: Liver

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A model based on clinico-biochemical characteristics and deep learning features from MR images for assessing necroinflammatory activity in chronic hepatitis B.

Journal of viral hepatitis Aug 8, 2021
Deep Learning Humans Liver Cirrhosis Liver Hepatitis B, Chronic
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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences Jul 28, 2021
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Chemical and Drug Induced Liver Injury Sensitivity and Specificity Support Vector Machine Liver Models, Biological Data Accuracy Quantitative Structure-Activity Relationship Humans Computer Simulation
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Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.

IEEE journal of biomedical and health informatics Jul 27, 2021
Liver vessel segmentation is fast becoming a key instrument in the diagnosis and surgical planning of liver diseases. In clinical practice, liver vessels are normally manual annotated by clinicians on each slice of CT images, which is extremely labor...
Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted Humans Liver Attention
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The overview of the deep learning integrated into the medical imaging of liver: a review.

Hepatology international Jul 15, 2021
Deep learning (DL) is a recently developed artificial intelligent method that can be integrated into numerous fields. For the imaging diagnosis of liver disease, several remarkable outcomes have been achieved with the application of DL currently. Thi...
Deep Learning Image Processing, Computer-Assisted Liver Humans Artificial Intelligence Diagnostic Imaging
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Dual-Organ Transcriptomic Analysis of Rainbow Trout Infected With Through Co-Expression and Machine Learning.

Frontiers in immunology Jul 8, 2021
is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses to the pathogen and its interactions with multiple organs during the course of infection have not been well described. In this study, dual-organ transc...
Oncorhynchus mykiss Ciliophora Infections Hymenostomatida Host-Pathogen Interactions Gills Immunity, Innate Virulence Factors Machine Learning RNA-Seq Head Kidney Fish Diseases Virulence Animals Gene Regulatory Networks Liver Transcriptome Gene Expression Regulation Signal Transduction
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Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort.

PLoS computational biology Jul 6, 2021
Drug-drug interactions account for up to 30% of adverse drug reactions. Increasing prevalence of electronic health records (EHRs) offers a unique opportunity to build machine learning algorithms to identify drug-drug interactions that drive adverse e...
Algorithms Retrospective Studies Electronic Health Records Humans Machine Learning Drug Interactions Chemical and Drug Induced Liver Injury Middle Aged Adolescent Computational Biology Liver Models, Statistical Young Adult Anti-Inflammatory Agents, Non-Steroidal Adult Female Male Aged Aged, 80 and over
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A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.

Hepatology (Baltimore, Md.) Jun 24, 2021
BACKGROUND AND AIMS: Manual histological assessment is currently the accepted standard for diagnosing and monitoring disease progression in NASH, but is limited by variability in interpretation and insensitivity to change. Thus, there is a critical n...
Non-alcoholic Fatty Liver Disease Liver Randomized Controlled Trials as Topic Biopsy Humans Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Severity of Illness Index Liver Cirrhosis
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ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities.

Journal of chemical information and modeling Jun 21, 2021
Computational methods such as machine learning approaches have a strong track record of success in predicting the outcomes of in vitro assays. In contrast, their ability to predict in vivo endpoints is more limited due to the high number of parameter...
Biological Assay Molecular Conformation Machine Learning Liver
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Robotic resection for hydatid disease of the liver.

BMJ case reports Jun 21, 2021
Robotic-assisted surgery for the management of hepatic echinococcosis was introduced in 2016. The advantage it offers over laparoscopy is less rigidity with the use of the 360° rotation of the Endo-Wrist technology, thus allowing the preservation of ...
Liver Neoplasms Liver Robotics Echinococcosis Humans Laparoscopy Aged Robotic Surgical Procedures Male Hepatectomy
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Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI.

Magnetic resonance imaging Jun 18, 2021
OBJECTIVE: To investigate the clinical feasibility of single-breath-hold (SBH) T2-weighted (T2WI) liver MRI with deep learning-based reconstruction in the evaluation of image quality and lesion delineation, compared with conventional multi-breath-hol...
Humans Adult Deep Learning Liver Neoplasms Artifacts Magnetic Resonance Imaging Image Enhancement Liver Liver Diseases Feasibility Studies
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