AIMC Topic: Aged, 80 and over

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eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19.

PloS one Sep 24, 2021
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU population comprising COVID-19 patients, up to 12-hours before satisfying the Berlin clinical criteria. The analysis was conducted on data collected f...
Oxygen Models, Biological Medical Records Systems, Computerized Respiratory Rate Humans Adult Male Machine Learning Middle Aged COVID-19 Adolescent Critical Illness Respiratory Distress Syndrome Female SARS-CoV-2 Risk Factors Aged Aged, 80 and over
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Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers.

Scientific reports Sep 23, 2021
This study attempts to explore the radiomics-based features of multi-parametric magnetic resonance imaging (MRI) and construct a machine-learning model to predict the blood supply in vestibular schwannoma preoperatively. By retrospectively collecting...
Adult Male Middle Aged Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neuroma, Acoustic Retrospective Studies Female Aged Aged, 80 and over Young Adult Humans Machine Learning
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Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation.

Scientific reports Sep 23, 2021
Critically ill patients affected by atrial fibrillation are at high risk of adverse events: however, the actual risk stratification models for haemorrhagic and thrombotic events are not validated in a critical care setting. With this paper we aimed t...
Retrospective Studies Critical Illness Treatment Failure Intensive Care Units Risk Assessment Ischemic Attack, Transient Humans Female Hospital Mortality Machine Learning Risk Factors Stroke Aged Atrial Fibrillation Aged, 80 and over Hemorrhage Male
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Deep learning-based prediction of early cerebrovascular events after transcatheter aortic valve replacement.

Scientific reports Sep 21, 2021
Cerebrovascular events (CVE) are among the most feared complications of transcatheter aortic valve replacement (TAVR). CVE appear difficult to predict due to their multifactorial origin incompletely explained by clinical predictors. We aimed to build...
Humans Prospective Studies Tomography, X-Ray Computed Incidence Aged, 80 and over Male Stroke Deep Learning Transcatheter Aortic Valve Replacement Female Risk Factors Aged
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A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

The American journal of tropical medicine and hygiene Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Emigrants and Immigrants Asia South America Central America Communicable Diseases, Imported Models, Theoretical Mexico Mass Screening Early Diagnosis Spain Young Adult Adult Cross-Sectional Studies Male Middle Aged Adolescent Child, Preschool Child Infant Prevalence Africa Retrospective Studies Female Infant, Newborn Aged Aged, 80 and over Humans Machine Learning
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Estimation of Baseline Serum Creatinine with Machine Learning.

American journal of nephrology Sep 20, 2021
INTRODUCTION: Comparing current to baseline serum creatinine is important in detecting acute kidney injury. In this study, we report a regression-based machine learning model to predict baseline serum creatinine.
Creatinine Aged, 80 and over Humans Adult Machine Learning Male Female Middle Aged Hospitalization Cohort Studies Aged
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Automated Collateral Flow Assessment in Patients with Acute Ischemic Stroke Using Computed Tomography with Artificial Intelligence Algorithms.

World neurosurgery Sep 16, 2021
BACKGROUND: Collateral circulation is associated with improved functional outcome in patients with large vessel occlusion acute ischemic stroke (AIS) who undergo reperfusion therapy. Assessment of collateral flow can be time consuming, subjective, an...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Male Middle Aged Ischemic Stroke Brain Ischemia Computed Tomography Angiography Collateral Circulation Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.

Nature communications Sep 16, 2021
Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe...
Risk Factors Aged Aged, 80 and over Adult Sensitivity and Specificity Male Humans Algorithms Bone Density Osteoporosis Female Hip Fractures Absorptiometry, Photon Middle Aged Risk Assessment Deep Learning Fractures, Bone Lumbar Vertebrae
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Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Computational and mathematical methods in medicine Sep 13, 2021
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the...
Mitral Valve Insufficiency Echocardiography, Doppler, Color Echocardiography, Three-Dimensional Adult Male Middle Aged Severity of Illness Index Deep Learning Computational Biology Neural Networks, Computer Algorithms Female Aged Aged, 80 and over Humans
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Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 10, 2021
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measureme...
Aortography Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Predictive Value of Tests Middle Aged Aortic Aneurysm, Abdominal Deep Learning Radiographic Image Interpretation, Computer-Assisted Treatment Outcome Young Adult Humans Automation Adult Neural Networks, Computer Computed Tomography Angiography Male Databases, Factual
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