AIMC Topic:
Predictive Value of Tests

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

Pediatric transplantation Jul 22, 2019
Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The SPLIT registry data...
Infant Pediatrics Anastomosis, Surgical Adolescent Humans Child, Preschool Liver Failure Prospective Studies Machine Learning Child Software Risk Factors Treatment Outcome Algorithms Young Adult Predictive Value of Tests Adult Biliary Tract Surgical Procedures Risk Assessment Registries Liver Transplantation
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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases Jul 21, 2019
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
Pancreatitis Neural Networks, Computer Prognosis Intraabdominal Infections Retrospective Studies Female ROC Curve Risk Factors Adult Logistic Models Male Predictive Value of Tests Middle Aged Models, Biological Severity of Illness Index APACHE Humans
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Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms.

The international journal of cardiovascular imaging Jul 19, 2019
Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with ...
Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Heart Defects, Congenital Echocardiography Middle Aged Case-Control Studies Deep Learning Predictive Value of Tests Reproducibility of Results Young Adult Adult Male Humans Female
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Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice.

The Journal of pathology Jul 18, 2019
The use of artificial intelligence will transform clinical practice over the next decade and the early impact of this will likely be the integration of image analysis and machine learning into routine histopathology. In the UK and around the world, a...
Humans Predictive Value of Tests Workflow Diffusion of Innovation Image Interpretation, Computer-Assisted Pathology Artificial Intelligence Forecasting Reproducibility of Results Diagnosis, Computer-Assisted
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Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images.

European journal of cancer (Oxford, England : 1990) Jul 18, 2019
BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue biopsy under the microscope. Recent research reveals a high discordance between individual pathologists. For melanoma, the literature reports on 25-2...
Predictive Value of Tests Skin Neoplasms Biopsy Humans Reproducibility of Results Melanoma Pathologists Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Microscopy Deep Learning Observer Variation Diagnosis, Differential Nevus
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Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.

JACC. Cardiovascular imaging Jul 17, 2019
OBJECTIVES: This study sought to develop a fully automated framework for cardiac function analysis from cardiac magnetic resonance (CMR), including comprehensive quality control (QC) algorithms to detect erroneous output.
Middle Aged Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Quality Control Heart Diseases Image Interpretation, Computer-Assisted Quality Indicators, Health Care Automation Reproducibility of Results Aged Male Ventricular Function, Left Magnetic Resonance Imaging, Cine Stroke Volume Ventricular Function, Right Humans Female
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Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

Gastrointestinal endoscopy Jul 11, 2019
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection ...
Female Reproducibility of Results Aged Young Adult Adult Humans Predictive Value of Tests Area Under Curve Endoscopy, Gastrointestinal Image Interpretation, Computer-Assisted Pattern Recognition, Automated Male Middle Aged Deep Learning Esophageal Squamous Cell Carcinoma ROC Curve
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Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.

Stroke Jul 10, 2019
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for determining the treatment strategy, especially in small aneurysms. This study aims to evaluate the feasibility of applying machine learning for predicti...
Predictive Value of Tests Computed Tomography Angiography Aneurysm, Ruptured Intracranial Aneurysm Adult Male Middle Aged Imaging, Three-Dimensional Humans Machine Learning Female Aged Aged, 80 and over Young Adult
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Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals.

Computers in biology and medicine Jul 10, 2019
There have been different efforts to predict epileptic seizures and most of them are based on the analysis of electroencephalography (EEG) signals; however, recent publications have suggested that functional Near-Infrared Spectroscopy (fNIRS), a rela...
Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Spectroscopy, Near-Infrared Predictive Value of Tests
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Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.

Photodiagnosis and photodynamic therapy Jul 9, 2019
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomi...
Tryptophan Phenylalanine Hepatitis B Serum Albumin Spectrum Analysis, Raman Humans Predictive Value of Tests Pakistan Neural Networks, Computer Bilirubin Sensitivity and Specificity
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