AIMC Topic: Predictive Value of Tests

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Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Respiratory research Dec 10, 2020
BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine le...
Risk Factors Aged Adult Male Middle Aged Risk Assessment Respiration, Artificial Lung Treatment Outcome Health Status Predictive Value of Tests Retrospective Studies Critical Illness Intensive Care Units Female Reproducibility of Results Humans Machine Learning Decision Support Techniques Phenotype Databases, Factual Ventilator-Induced Lung Injury
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Predictors of Stroke Outcome Extracted from Multivariate Linear Discriminant Analysis or Neural Network Analysis.

Journal of atherosclerosis and thrombosis Dec 9, 2020
AIM: The prediction of functional outcome is essential in the management of acute ischemic stroke patients. We aimed to explore the various prognostic factors with multivariate linear discriminant analysis or neural network analysis and evaluate the ...
Humans Neural Networks, Computer Machine Learning Prognosis Retrospective Studies Female Regression Analysis Recovery of Function Predictive Value of Tests Ischemic Stroke Discriminant Analysis Alkaline Phosphatase Risk Factors Aged Aged, 80 and over Male Middle Aged Nutritional Status Multivariate Analysis
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Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Journal of vascular surgery Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Humans Retrospective Studies Reproducibility of Results Deep Learning Observer Variation Predictive Value of Tests Automation Aortic Aneurysm, Abdominal Multidetector Computed Tomography Anatomic Landmarks Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Software Design Workflow Aortography
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A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Image Interpretation, Computer-Assisted Eosine Yellowish-(YS) Hematoxylin Methyl Green Young Adult Biopsy Non-alcoholic Fatty Liver Disease Adult Retrospective Studies Adolescent Coloring Agents Male Clinical Decision-Making Microscopy Humans Child Middle Aged Female Azo Compounds Staining and Labeling Severity of Illness Index Reproducibility of Results Neural Networks, Computer Liver Cirrhosis Aged Software Liver Decision Support Techniques Aged, 80 and over Predictive Value of Tests
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Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.

Scientific reports Dec 9, 2020
Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk factors for disease outcomes. Our objective was to identify characteristics available immediately upon first clinical evaluation related COVID-19 mortali...
Middle Aged Predictive Value of Tests Models, Biological Vital Signs New York City Machine Learning Pandemics COVID-19 Retrospective Studies Female SARS-CoV-2 Risk Factors Hospitalization Aged Aged, 80 and over Male Humans
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Selecting Children with Vesicoureteral Reflux Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR.

The Journal of urology Dec 8, 2020
PURPOSE: Continuous antibiotic prophylaxis reduces the risk of recurrent urinary tract infection by 50% in children with vesicoureteral reflux. However, there may be subgroups in whom continuous antibiotic prophylaxis could be used more selectively. ...
Vesico-Ureteral Reflux Antibiotic Prophylaxis Male Humans Infant Machine Learning Predictive Value of Tests Female Urinary Tract Infections Patient Selection
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Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Dec 7, 2020
BACKGROUND: Cardiovascular magnetic resonance (CMR) is part of the diagnostic work-up for cardiac amyloidosis (CA). Deep learning (DL) is an application of artificial intelligence that may allow to automatically analyze CMR findings and establish the...
Magnetic Resonance Imaging, Cine Amyloid Neuropathies, Familial Immunoglobulin Light-chain Amyloidosis Predictive Value of Tests Myocardium Ventricular Remodeling Cardiomyopathy, Hypertrophic Humans Hypertrophy, Left Ventricular Female Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Deep Learning Image Processing, Computer-Assisted
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Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19.

British journal of anaesthesia Dec 4, 2020
BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) requiring mechanical ventilation have high mortality and resource utilisation. The ability to predict which patients may require mechanical ventilation allows increased acuity of care and ...
Predictive Value of Tests Female Humans Machine Learning Aged COVID-19 Male Retrospective Studies Middle Aged Clinical Decision-Making Respiration, Artificial
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Ensemble machine learning for the prediction of patient-level outcomes following thyroidectomy.

American journal of surgery Dec 3, 2020
BACKGROUND: Accurate prediction of thyroidectomy complications is necessary to inform treatment decisions. Ensemble machine learning provides one approach to improve prediction.
Predictive Value of Tests Thyroid Diseases Thyroidectomy Risk Factors ROC Curve Aged Humans Logistic Models Adult Treatment Outcome Machine Learning Male Middle Aged Algorithms Postoperative Complications Female
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Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence.

Journal of neurotrauma Dec 3, 2020
This pilot study explores the possibility of predicting post-concussion symptom recovery at one week post-injury using only objective diffusion tensor imaging (DTI) data inputs to a novel artificial intelligence (AI) system composed of Genetic Fuzzy ...
Humans Artificial Intelligence Prospective Studies Cohort Studies Child Fuzzy Logic Recovery of Function Predictive Value of Tests Post-Concussion Syndrome Brain Female Male Pilot Projects Adolescent
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