AIMC Topic: Predictive Value of Tests

Clear Filters Showing 821 to 830 of 2199 articles

Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.

JACC. Cardiovascular imaging Oct 13, 2021
OBJECTIVES: This study sought to develop DL models capable of comprehensively quantifying left and right ventricular dysfunction from ECG data in a large, diverse population.
Deep Learning Electrocardiography Predictive Value of Tests Ventricular Dysfunction, Right Ventricular Dysfunction, Left Humans Ventricular Function, Left Stroke Volume Ventricular Function, Right
View on PubMed DOI

The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.

BMC cardiovascular disorders Oct 13, 2021
BACKGROUND: Type 1 Brugada syndrome (BrS) is a hereditary arrhythmogenic disease showing peculiar electrocardiographic (ECG) patterns, characterized by ST-segment elevation in the right precordial leads, and risk of Sudden Cardiac Death (SCD). Furthe...
Heart Rate Brugada Syndrome Italy Prospective Studies Prognosis Signal Processing, Computer-Assisted Action Potentials Humans Gene Expression Profiling Retrospective Studies Workflow Machine Learning Transcriptome Predictive Value of Tests Reproducibility of Results Research Design Diagnosis, Computer-Assisted Electrocardiography
View on PubMed DOI

A deep learning-based model for prediction of hemorrhagic transformation after stroke.

Brain pathology (Zurich, Switzerland) Oct 4, 2021
Hemorrhagic transformation (HT) is one of the most serious complications after endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) patients. The purpose of this study is to develop and validate deep-learning (DL) models based on multiparam...
Deep Learning Predictive Value of Tests Ischemic Stroke Stroke Diffusion Magnetic Resonance Imaging Humans Retrospective Studies
View on PubMed DOI

A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection.

The Canadian journal of cardiology Oct 4, 2021
BACKGROUND: Chest pain is the most common symptom of aortic dissection (AD), but it is often confused with other prevalent cardiopulmonary diseases. We aimed to develop deep-learning models (DLMs) with electrocardiography (ECG) and chest x-ray (CXR) ...
Retrospective Studies Deep Learning Radiography, Thoracic Electrocardiography Humans Aortic Dissection Predictive Value of Tests Algorithms
View on PubMed DOI

Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.

Aging clinical and experimental research Sep 27, 2021
BACKGROUND: Peripheral artery disease (PAD) is a common syndrome in elderly people. Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms, have been increasingly used in disease diagnosis.
Ankle Brachial Index Humans Prospective Studies Aged Artificial Intelligence Peripheral Arterial Disease Machine Learning Predictive Value of Tests Algorithms
View on PubMed DOI

Deep Learning for Adjacent Segment Disease at Preoperative MRI for Cervical Radiculopathy.

Radiology Sep 21, 2021
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learnin...
Reproducibility of Results Adult Sensitivity and Specificity Male Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Middle Aged Postoperative Complications Humans Preoperative Care Retrospective Studies Cervical Vertebrae Diskectomy Female Spinal Fusion Spinal Cord Diseases Image Interpretation, Computer-Assisted Radiculopathy
View on PubMed DOI

Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
Aged Sensitivity and Specificity Male ROC Curve Out-of-Hospital Cardiac Arrest Machine Learning Humans Predictive Value of Tests Algorithms Area Under Curve Brain Survival Analysis Female Models, Cardiovascular
View on PubMed DOI

Machine Learning Applications in Solid Organ Transplantation and Related Complications.

Frontiers in immunology Sep 16, 2021
The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning...
Time Factors Organ Transplantation Graft Survival Risk Factors Humans Treatment Outcome Data Mining Machine Learning Risk Assessment Predictive Value of Tests Therapy, Computer-Assisted Decision Support Techniques Postoperative Complications Clinical Decision-Making Diagnosis, Computer-Assisted
View on PubMed DOI

Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.

The British journal of radiology Sep 14, 2021
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the fea...
Early Diagnosis Health Services Needs and Demand Radiography, Thoracic Pneumonia, Viral Middle Aged Machine Learning Respiration, Artificial COVID-19 Predictive Value of Tests Prognosis Critical Care Retrospective Studies Humans Aged Female Adult SARS-CoV-2 Male
View on PubMed DOI

Preoperative prediction of postoperative urinary retention in lumbar surgery: a comparison of regression to multilayer neural network.

Journal of neurosurgery. Spine Sep 10, 2021
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and is associated with prolongation of hospital stay, increased hospital cost, increased rate of urinary tract infection, bladder overdistention, and auton...
Regression Analysis Predictive Value of Tests Lumbar Vertebrae Urinary Retention Male Middle Aged Postoperative Complications ROC Curve Spinal Diseases Humans Neural Networks, Computer Machine Learning Retrospective Studies Risk Factors Aged Adult Female Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals