AIMC Topic: Aged, 80 and over

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Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning.

PloS one Apr 25, 2024
The Omicron SARS-CoV-2 variant continues to strain healthcare systems. Developing tools that facilitate the identification of patients at highest risk of adverse outcomes is a priority. The study objectives are to develop population-scale predictive ...
Longitudinal Studies Humans Male Machine Learning Middle Aged SARS-CoV-2 COVID-19 Comorbidity Hospitalization Retrospective Studies COVID-19 Vaccines Aged Female Vaccination Aged, 80 and over Adult
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Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.

Skeletal radiology Apr 24, 2024
OBJECTIVES: To assess a deep learning-based reconstruction algorithm (DLRecon) in zero echo-time (ZTE) MRI of the shoulder at 1.5 Tesla for improved delineation of osseous findings.
Signal-To-Noise Ratio Middle Aged Shoulder Joint Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Retrospective Studies Algorithms Female Aged Aged, 80 and over Adult Male
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Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.

Journal of affective disorders Apr 24, 2024
BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on...
Comorbidity Anxiety Disorders Depression Canada Longitudinal Studies Humans Aged, 80 and over Frailty Machine Learning Male Prospective Studies Aging Female Middle Aged Aged Anxiety
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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Heart Failure Natriuretic Peptide, Brain Multidetector Computed Tomography Vascular Calcification Asymptomatic Diseases Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Middle Aged Peptide Fragments Female Humans Risk Assessment Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Incidence Artificial Intelligence Coronary Artery Disease Risk Factors Time Factors Biomarkers Aged Prognosis United States Aged, 80 and over Male
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Machine Learning-Based Perivascular Space Volumetry in Alzheimer Disease.

Investigative radiology Apr 23, 2024
OBJECTIVES: Impaired perivascular clearance has been suggested as a contributing factor to the pathogenesis of Alzheimer disease (AD). However, it remains unresolved when the anatomy of the perivascular space (PVS) is altered during AD progression. T...
Male Disease Progression Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Glymphatic System Humans Machine Learning Female Aged Aged, 80 and over
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Prevalence, mortality, cost, and disparities in transcatheter mitral valve repair and replacement in cancer patients: Artificial intelligence and propensity score national 5-year analysis of 7495 procedures.

International journal of cardiology Apr 23, 2024
INTRODUCTION: We conducted the first comprehensive evaluation of the therapeutic value and safety profile of transcatheter mitral edge-to-edge repair (TEER) and transcatheter mitral valve replacement (TMVR) in individuals concurrently afflicted with ...
Humans Artificial Intelligence Prospective Studies Retrospective Studies Female Heart Valve Prosthesis Implantation Propensity Score Cardiac Catheterization Neoplasms Prevalence Aged Cohort Studies Aged, 80 and over United States Adult Healthcare Disparities Male Mitral Valve Insufficiency Middle Aged
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Machine learning approach for prediction of outcomes in anticoagulated patients with atrial fibrillation.

International journal of cardiology Apr 23, 2024
BACKGROUND: The accuracy of available prediction tools for clinical outcomes in patients with atrial fibrillation (AF) remains modest. Machine Learning (ML) has been used to predict outcomes in the AF population, but not in a population entirely on a...
Atrial Fibrillation Hemorrhage Aged Aged, 80 and over Male Humans Middle Aged Machine Learning Risk Assessment Female Treatment Outcome Follow-Up Studies Predictive Value of Tests Anticoagulants Registries Stroke
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Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 23, 2024
BACKGROUND: Acute kidney injury (AKI) is not only a complication but also a serious threat to patients with cerebral infarction (CI). This study aimed to explore the application of interpretable machine learning algorithms in predicting AKI in patien...
Prognosis Retrospective Studies Acute Kidney Injury Intensive Care Units Female Humans Machine Learning Decision Support Techniques Middle Aged Risk Assessment Diagnosis, Computer-Assisted China Predictive Value of Tests Cerebral Infarction Reproducibility of Results Risk Factors Aged Aged, 80 and over Male
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Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS.

Abdominal radiology (New York) Apr 23, 2024
PURPOSE: To investigate the influence of deep learning reconstruction (DLR) on bladder MRI, specifically examination time, image quality, and diagnostic performance of vesical imaging reporting and data system (VI-RADS) within a prospective clinical ...
Magnetic Resonance Imaging Urinary Bladder Neoplasms Neoplasm Invasiveness Image Interpretation, Computer-Assisted Urinary Bladder Diffusion Magnetic Resonance Imaging Humans Aged, 80 and over Prospective Studies Adult Female Male Aged Middle Aged Deep Learning
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Deep learning-assisted diagnosis of benign and malignant parotid tumors based on ultrasound: a retrospective study.

BMC cancer Apr 23, 2024
BACKGROUND: To develop a deep learning(DL) model utilizing ultrasound images, and evaluate its efficacy in distinguishing between benign and malignant parotid tumors (PTs), as well as its practicality in assisting clinicians with accurate diagnosis.
Deep Learning Young Adult Adolescent Adult Child Diagnosis, Differential Humans Sensitivity and Specificity Ultrasonography Parotid Neoplasms Retrospective Studies Male ROC Curve Female Middle Aged Aged Aged, 80 and over
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