AIMC Topic: Predictive Value of Tests

Clear Filters Showing 1151 to 1160 of 2211 articles

Biomarkers of the Response to Immune Checkpoint Inhibitors in Metastatic Urothelial Carcinoma.

Frontiers in immunology Aug 25, 2020
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastatic urothelial carcinoma (mUC) patients are not clear. It is of great significance to discern mUC patients who could benefit from ICI therapy in clinica...
Immune Checkpoint Inhibitors B7-H1 Antigen Nomograms Treatment Outcome Antibodies, Monoclonal, Humanized Biomarkers, Tumor Predictive Value of Tests Urinary Bladder Neoplasms Male Carcinoma Humans Risk Assessment Drug Resistance, Neoplasm Machine Learning Gene Expression Profiling Urothelium Decision Support Techniques Transcriptome Clinical Decision-Making Time Factors Female Risk Factors
View on PubMed DOI

Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.

Journal of dairy science Aug 20, 2020
Bovine tuberculosis (bTB) is a zoonotic disease in cattle that is transmissible to humans, distributed worldwide, and considered endemic throughout much of England and Wales. Mid-infrared (MIR) analysis of milk is used routinely to predict fat and pr...
Predictive Value of Tests Lactation Milk Spectrophotometry, Infrared Scotland Tuberculosis, Bovine Phenotype Female Sensitivity and Specificity Animals Deep Learning England Cattle Neural Networks, Computer
View on PubMed DOI

Automated quantification of myocardial tissue characteristics from native T mapping using neural networks with uncertainty-based quality-control.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 20, 2020
BACKGROUND: Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by late gadolinium enhancement. Nat...
Quality Control Image Interpretation, Computer-Assisted Automation Cardiomyopathies Uncertainty Stroke Volume Case-Control Studies Magnetic Resonance Imaging Predictive Value of Tests Bayes Theorem Myocardium Humans Neural Networks, Computer Reproducibility of Results Ventricular Function, Left
View on PubMed DOI

Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Severity of Illness Index China Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Hospitalization Aged Adult Male Middle Aged Risk Assessment COVID-19 Testing Sex Factors Survival Analysis Internationality Belgium Clinical Laboratory Techniques Pneumonia, Viral Age Factors Predictive Value of Tests Triage Area Under Curve Italy Coronavirus Infections Humans Machine Learning Pandemics COVID-19 Retrospective Studies Female Reproducibility of Results
View on PubMed DOI

Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Deep Learning Image Processing, Computer-Assisted Vaginal Smears Papillomavirus Infections Cervix Uteri Early Detection of Cancer Neoplasm Invasiveness Predictive Value of Tests Triage Biopsy Datasets as Topic Uterine Cervical Dysplasia Humans Female Adult Uterine Cervical Neoplasms Middle Aged Severity of Illness Index Papillomaviridae Colposcopy
View on PubMed DOI

Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.

BMC cardiovascular disorders Aug 14, 2020
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to iden...
Ventricular Dysfunction, Left Natriuretic Peptide, Brain Asymptomatic Diseases Diastole Deep Learning Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Peptide Fragments Heart Failure Female Risk Factors Aged Aged, 80 and over Male Ventricular Function, Left Stroke Volume Echocardiography Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Humans Biomarkers Retrospective Studies
View on PubMed DOI

Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source.

Stroke Aug 12, 2020
BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ESUS). Their theoretical causes can be classified as cardioembolic versus noncardioembolic. This distinction has important implications, but the categor...
Aged, 80 and over Decision Trees Male Predictive Value of Tests Middle Aged Registries ROC Curve Stroke Image Processing, Computer-Assisted Atrial Fibrillation Electrocardiography Humans Intracranial Embolism Machine Learning Algorithms Female Reproducibility of Results Aged
View on PubMed DOI

3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology Aug 11, 2020
PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by man...
Humans Retrospective Studies Imaging, Three-Dimensional Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Aorta, Abdominal Computed Tomography Angiography Aortography Female Aged Aged, 80 and over Male Middle Aged Deep Learning
View on PubMed DOI

Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Severity of Illness Index Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Retrospective Studies Female Humans Reproducibility of Results Aged Machine Learning Male Middle Aged Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography
View on PubMed DOI

A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Microarray Analysis Kaplan-Meier Estimate Circulating MicroRNA Early Detection of Cancer MicroRNAs Pancreatic Neoplasms Predictive Value of Tests Principal Component Analysis Survival Analysis Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Computational Biology Gene Expression Regulation, Neoplastic
View on PubMed DOI
Popular Topics
Recent Journals