AIMC Topic: Age Factors

Clear Filters Showing 141 to 150 of 366 articles

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Gastroenterology Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Humans Male Middle Aged Risk Assessment Colon Colonoscopy ROC Curve Lymph Nodes Machine Learning Retrospective Studies Female Risk Factors Aged Colorectal Neoplasms Colectomy Follow-Up Studies Lymphatic Metastasis Age Factors Lymph Node Excision Neoplasm Staging Japan
View on PubMed DOI

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Proportional Hazards Models Radiography, Thoracic Mortality Radiography Emergency Service, Hospital Italy Neurodegenerative Diseases Coronary Artery Disease Sex Factors Tomography, X-Ray Computed Intensive Care Units Female SARS-CoV-2 Hospitalization Aged Pulmonary Disease, Chronic Obstructive Humans Male Artificial Intelligence Middle Aged COVID-19 Comorbidity Prognosis Severity of Illness Index Retrospective Studies Deep Learning Age Factors
View on PubMed DOI

MRI-visible dilated perivascular spaces in healthy young adults: A twin heritability study.

Human brain mapping Sep 8, 2020
We investigated the narrow-sense heritability of MRI-visible dilated perivascular spaces (dPVS) in healthy young adult twins and nontwin siblings (138 monozygotic, 79 dizygotic twin pairs, and 133 nontwin sibling pairs; 28.7 ± 3.6 years) from the Hum...
Humans Neuroimaging Retrospective Studies Young Adult Female White Matter Adult Siblings Male Basal Ganglia Deep Learning Inheritance Patterns Age Factors Twins Magnetic Resonance Imaging Glymphatic System
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.
Survival Analysis Internationality Belgium Clinical Laboratory Techniques Pneumonia, Viral Triage Area Under Curve Italy Coronavirus Infections COVID-19 Testing Sex Factors Aged Adult Male Middle Aged Risk Assessment Severity of Illness Index China Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Age Factors Predictive Value of Tests Pandemics COVID-19 Retrospective Studies Female Reproducibility of Results Hospitalization Humans Machine Learning
View on PubMed DOI

Common cardiovascular risk factors and in-hospital mortality in 3,894 patients with COVID-19: survival analysis and machine learning-based findings from the multicentre Italian CORIST Study.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jul 31, 2020
BACKGROUND AND AIMS: There is poor knowledge on characteristics, comorbidities and laboratory measures associated with risk for adverse outcomes and in-hospital mortality in European Countries. We aimed at identifying baseline characteristics predisp...
Humans Machine Learning Pandemics COVID-19 Retrospective Studies Female SARS-CoV-2 Risk Factors Aged Survival Analysis Betacoronavirus Pneumonia, Viral Adolescent Hospital Mortality Aged, 80 and over Glomerular Filtration Rate Young Adult Age Factors Adult C-Reactive Protein Male Coronavirus Infections Cardiovascular Diseases Middle Aged
View on PubMed DOI

Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept.

Scientific reports Jul 23, 2020
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsis exhibit poor performance when used in this unique population due to their underlying hypermetabolic and inflammatory response following burn injury....
Predictive Value of Tests Burns Models, Biological Disease-Free Survival Humans Machine Learning Databases, Factual Female Adult Survival Rate Male Middle Aged Sepsis Age Factors
View on PubMed DOI

An artificial neural network approach for predicting hypertension using NHANES data.

Scientific reports Jun 30, 2020
This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to larg...
Age Factors Models, Statistical Sensitivity and Specificity Sex Factors Humans Smoking Male Neural Networks, Computer Middle Aged Algorithms Nutrition Surveys Female Hypertension Risk Factors Body Mass Index Adult
View on PubMed DOI

Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings.

Scientific reports Jun 29, 2020
In voice research and clinical assessment, many objective parameters are in use. However, there is no commonly used set of parameters that reflect certain voice disorders, such as functional dysphonia (FD); i.e. disorders with no visible anatomical c...
Humans Female Machine Learning Endoscopy Male Age Factors Voice Disorders Laryngoscopy Voice Quality
View on PubMed DOI

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Calibration Image Processing, Computer-Assisted Adenocarcinoma of Lung Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Adult Diagnosis, Differential Lung Neoplasms Granuloma Tuberculosis Logistic Models Sex Factors Nomograms Diagnostic Tests, Routine Age Factors Observer Variation Solitary Pulmonary Nodule Pattern Recognition, Automated Regression Analysis
View on PubMed DOI

Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study.

Scandinavian journal of trauma, resuscitation and emergency medicine Jun 25, 2020
INTRODUCTION: Studies examining the factors linked to survival after out of hospital cardiac arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in different parts of the world, or focused on certain factors and wheth...
Survival Analysis Time-to-Treatment Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Sweden Aged Male Age Factors Emergency Medical Services Heart Rate Humans Machine Learning Algorithms Female
View on PubMed DOI
Popular Topics
Recent Journals