AIMC Topic: Predictive Value of Tests

Clear Filters Showing 1251 to 1260 of 2211 articles

Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Deep Learning Electrocardiography Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Signal Processing, Computer-Assisted Early Diagnosis Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Humans Retrospective Studies Republic of Korea Female Reproducibility of Results
View on PubMed DOI

Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.

CNS neuroscience & therapeutics Mar 20, 2020
BACKGROUND: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreo...
Magnetic Resonance Imaging Parkinson Disease Predictive Value of Tests Hypokinesia Dysarthria Machine Learning Humans Brain Female Retrospective Studies Aged Male Middle Aged Severity of Illness Index
View on PubMed DOI

Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network.

Scientific reports Mar 20, 2020
In managing a patient with glioblastoma (GBM), a surgeon must carefully consider whether sufficient tumour can be removed so that the patient can enjoy the benefits of decompression and cytoreduction, without impacting on the patient's neurological s...
Aged Brain Neoplasms Middle Aged Magnetic Resonance Imaging Humans Predictive Value of Tests Neural Networks, Computer Glioblastoma Machine Learning Prognosis Clinical Decision-Making
View on PubMed DOI

Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Progress in cardiovascular diseases Mar 19, 2020
There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and deep learning approaches in cardiovascular (CV) medicine. In the era of modern medicine, AI and electronic health records hold the promise to improve...
Cardiovascular Diseases Diagnosis, Computer-Assisted Deep Learning Humans Support Vector Machine Machine Learning Predictive Value of Tests Multimodal Imaging Reproducibility of Results Image Interpretation, Computer-Assisted
View on PubMed DOI

Deep learning approaches for sleep disorder prediction in an asthma cohort.

The Journal of asthma : official journal of the Association for the Care of Asthma Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
Infant Deep Learning Adolescent Child, Preschool Child Sleep Wake Disorders Young Adult Humans Adult Nerve Tissue Proteins Artificial Intelligence Asthma Predictive Value of Tests Female Male DNA-Binding Proteins Middle Aged
View on PubMed DOI

Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Male Ventricular Function, Left Humans Echocardiography Image Interpretation, Computer-Assisted Unsupervised Machine Learning Retrospective Studies Prospective Studies Middle Aged Predictive Value of Tests Pattern Recognition, Automated Female Prognosis Disease Progression Registries Aged Patient Readmission Aged, 80 and over Ventricular Dysfunction, Left Adult
View on PubMed DOI

Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
United States Contrast Media Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Myocardial Ischemia Humans Cardiomyopathies Fourier Analysis Gadolinium DTPA Machine Learning Stroke Volume Female Registries Death, Sudden, Cardiac Prognosis Middle Aged Arrhythmias, Cardiac Risk Factors Risk Assessment Retrospective Studies Heart Rate Aged Diagnosis, Computer-Assisted Male Imaging, Three-Dimensional Ventricular Function, Left
View on PubMed DOI

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

European radiology Mar 11, 2020
BACKGROUND AND PURPOSE: Recent studies have highlighted the importance of isocitrate dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of gliomas. This study aimed to evaluate whether MRI-based radiomic features cou...
Glioma Magnetic Resonance Imaging Predictive Value of Tests Mutation Survival Analysis Adult Brain Neoplasms Isocitrate Dehydrogenase Male Humans Middle Aged Machine Learning ROC Curve Brain Prognosis Retrospective Studies Female Reproducibility of Results
View on PubMed DOI

Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.

Heart (British Cardiac Society) Mar 11, 2020
OBJECTIVE: To assess the utility of machine learning algorithms for automatically estimating prognosis in patients with repaired tetralogy of Fallot (ToF) using cardiac magnetic resonance (CMR).
Diagnosis, Computer-Assisted Deep Learning Adolescent Time Factors Child Young Adult Adult Male Middle Aged Risk Assessment Germany Tetralogy of Fallot Magnetic Resonance Imaging, Cine Electrocardiography Predictive Value of Tests Registries Feasibility Studies Image Interpretation, Computer-Assisted Prognosis Female Risk Factors Humans Prospective Studies
View on PubMed DOI

Machine Learning in Drug Discovery and Development Part 1: A Primer.

CPT: pharmacometrics & systems pharmacology Mar 11, 2020
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop...
Humans Artificial Intelligence Machine Learning Drug Approval History, 20th Century Algorithms Drug Discovery Models, Theoretical Drug Development Predictive Value of Tests
View on PubMed DOI
Popular Topics
Recent Journals