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Showing 5083-5103 of 7,604 articles

Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.

BACKGROUND: We attempted to train and validate a model of deep learning for the preoperative predict...

Jul 2019 31332558

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Machine learning analyses allow for the consideration of numerous variables in order to accommodate ...

Jul 2019 31328849

Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in...

Jul 2019 31328389

Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.

The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibro...

Jul 2019 31428186

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

PURPOSE: To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from dif...

Jul 2019 31169907

Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However...

Jul 2019 31329113

Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.

OBJECTIVES: To develop and test a method for automatic assessment of a quality metric, provider-docu...

Jul 2019 31324681

Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.

Deep learning (DL), a type of machine learning approach, is a powerful tool for analyzing large sets...

Jul 2019 31314536

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified ...

Jul 2019 31316157

MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.

Magnetic resonance imaging (MRI) has been widely used in combination with computed tomography (CT) r...

Jul 2019 31146267

Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve t...

Jul 2019 31302091

Synthesis and Swelling Behavior of Sodium Alginate/Poly(vinyl alcohol) Hydrogels.

OBJECTIVES: Hydrogels are macromolecular networks able to absorb and release water/biological fluids...

Jul 2019 32454722

MAPGI: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning.

Automatic detection of anatomical landmarks and diseases in medical images is a challenging task whi...

Jul 2019 31325742

Raman spectroscopic histology using machine learning for nonalcoholic fatty liver disease.

Histopathology requires the expertise of specialists to diagnose morphological features of cells and...

Jul 2019 31254349

Utilizing hybrid functional fuzzy wavelet neural networks with a teaching learning-based optimization algorithm for medical disease diagnosis.

Accurate medical disease diagnosis is considered to be an important classification problem. The main...

Jul 2019 31356992

Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes)...

Jul 2019 31445275

Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.

PURPOSE: Manually tracing regions of interest (ROIs) within the liver is the de facto standard metho...

Jul 2019 31228267

Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and s...

Jul 2019 31272385

Association of trough vedolizumab levels with clinical, biological and endoscopic outcomes during maintenance therapy in inflammatory bowel disease.

OBJECTIVE: To establish the relationship between trough vedolizumab levels and outcomes during maint...

Jul 2019 32133110

Predictors of blood transfusion use in robotic beating-heart totally endoscopic coronary artery bypass with anastomotic connectors.

BACKGROUND: We sought to identify the independent predictors of blood transfusion requirement in rob...

Jul 2019 31269323

Supervised Learning and Mass Spectrometry Predicts the Fate of Nanomaterials.

The surface of nanoparticles changes immediately after intravenous injection because blood proteins ...

Jul 2019 31268684