AIMC Topic: Predictive Value of Tests

Clear Filters Showing 1191 to 1200 of 2211 articles

Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI.

Diagnostic and interventional imaging Jul 7, 2020
PURPOSE: The purpose of this study was to create an algorithm that combines multiple machine-learning techniques to predict the expanded disability status scale (EDSS) score of patients with multiple sclerosis at two years solely based on age, sex an...
Magnetic Resonance Imaging Predictive Value of Tests Multiple Sclerosis Humans Neural Networks, Computer Artificial Intelligence Brain
View on PubMed DOI

Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept.

World journal of urology Jul 6, 2020
Treatment Outcome Predictive Value of Tests Nivolumab Kidney Neoplasms Carcinoma, Renal Cell Male Middle Aged Humans Cohort Studies Artificial Intelligence Immune Checkpoint Inhibitors Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Female Aged
View on PubMed DOI

Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
BACKGROUND: Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation i...
Humans Neural Networks, Computer Female Reproducibility of Results Registries Time Factors Electrophysiologic Techniques, Cardiac Atrial Fibrillation Support Vector Machine Aged Heart Rate Atrial Function, Right Action Potentials Pattern Recognition, Automated Male Predictive Value of Tests Atrial Function, Left Middle Aged Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted
View on PubMed DOI

Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are...
Predictive Value of Tests Signal Processing, Computer-Assisted Heart Conduction System Arrhythmias, Cardiac Heart Rate Diagnosis, Computer-Assisted Deep Learning Electrocardiography Action Potentials Electrophysiologic Techniques, Cardiac Humans Artificial Intelligence Machine Learning Prognosis Reproducibility of Results
View on PubMed DOI

Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Prognosis Reproducibility of Results Vascular Calcification Computed Tomography Angiography Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Plaque, Atherosclerotic
View on PubMed DOI

Prediction of hERG potassium channel blockage using ensemble learning methods and molecular fingerprints.

Toxicology letters Jul 3, 2020
The human ether-a-go-go-related gene (hERG) encodes a tetrameric potassium channel called Kv11.1. This channel can be blocked by certain drugs, which leads to long QT syndrome, causing cardiotoxicity. This is a significant problem during drug develop...
Peptide Mapping Cardiotoxicity Potassium Channel Blockers ERG1 Potassium Channel CHO Cells Cricetulus Area Under Curve Models, Molecular Cricetinae Databases, Factual Animals Support Vector Machine Predictive Value of Tests Humans Machine Learning Algorithms
View on PubMed DOI

Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study.

Scientific reports Jul 3, 2020
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to compare their predictive performance with a conventional scoring (reference) model. In a 17-center prospective study of infants (aged < 1 year) hospitali...
Predictive Value of Tests Positive-Pressure Respiration Bronchiolitis Intensive Care Units Humans Infant Female Machine Learning Severity of Illness Index Hospitalization Prospective Studies Cohort Studies Male Regression Analysis Decision Trees
View on PubMed DOI

From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Machine Learning Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Humans Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Predictive Value of Tests Coronary Stenosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors
View on PubMed DOI

Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.

Cancer research and treatment Jun 30, 2020
PURPOSE: Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of SLNs by a pathologist is not easy and is a tedious and...
ROC Curve Aged, 80 and over Neoplasm Staging Humans Image Processing, Computer-Assisted Adult Sentinel Lymph Node Republic of Korea Lymphatic Metastasis Sentinel Lymph Node Biopsy Breast Neoplasms Female Predictive Value of Tests Frozen Sections Middle Aged Aged Deep Learning
View on PubMed DOI

Machine learning-based prediction of transfusion.

Transfusion Jun 28, 2020
BACKGROUND: The ability to predict transfusions arising during hospital admission might enable economized blood supply management and might furthermore increase patient safety by ensuring a sufficient stock of red blood cells (RBCs) for a specific pa...
Adult Male Blood Transfusion Predictive Value of Tests Western Australia Machine Learning Retrospective Studies Female Hospitalization Humans Decision Making, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals