AIMC Topic: Aged, 80 and over

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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and r...
Adolescent Thyroid Nodule Humans Ultrasonography, Interventional Female Male Microwaves Aged Middle Aged Aged, 80 and over Radiofrequency Ablation Deep Learning Young Adult Convolutional Neural Networks Adult
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Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. Howeve...
Emergency Room Visits Aged Cost-Benefit Analysis Aged, 80 and over France Male Home Care Services Emergency Service, Hospital Cost-Effectiveness Analysis Telemedicine Humans Machine Learning Retrospective Studies Female Hospitalization
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Humans Machine Learning Female Echocardiography, Doppler Blood Flow Velocity Echocardiography, Three-Dimensional Aortic Valve Stenosis Stroke Volume Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Prevalence Severity of Illness Index Hemodynamics
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging Apr 10, 2025
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Head and Neck Neoplasms Neck Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Prospective Studies Tomography, X-Ray Computed Computed Tomography Angiography Quality Improvement Radiography, Dual-Energy Scanned Projection Artifacts Head Signal-To-Noise Ratio
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Comparing large scale and selected feature learning for community acquired pneumonia prognosis prediction using clinical data: a stacked ensemble approach.

Scientific reports Apr 10, 2025
This study investigated and validated all-cause in-hospital death prediction models for hospitalized pneumonia patients based on large-scale clinical data, including diagnoses, medication prescriptions, and laboratory test codes. Feature selection wa...
Female Community-Acquired Pneumonia Risk Factors Humans Aged Machine Learning Middle Aged Aged, 80 and over Prognosis Male Hospital Mortality ROC Curve Pneumonia Community-Acquired Infections
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Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated delirium.

PloS one Apr 9, 2025
This study aimed to develop models for predicting the 30-day mortality of sepsis-associated delirium (SAD) by multiple machine learning (ML) algorithms. On the whole, a cohort of 3,197 SAD patients were collected from the Medical Information Mart for...
Middle Aged Female Humans Sepsis Risk Factors Delirium Aged Machine Learning Aged, 80 and over Algorithms Male Prognosis
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Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Clinical pharmacology and therapeutics Apr 8, 2025
Measuring medication discontinuation in claims data primarily relies on the gaps between prescription fills, but such definitions are rarely validated. This study aimed to establish a natural language processing (NLP)-based validation framework to ev...
Humans Algorithms Electronic Health Records Female Anticoagulants Warfarin Antipsychotic Agents Insurance Claim Review Medicare Part D Aged Aged, 80 and over Male United States Natural Language Processing
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Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.

Renal failure Apr 7, 2025
BACKGROUND: Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning...
Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Incidence Creatinine Acute Kidney Injury Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Prognosis
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A neural network approach to glomerular filtration rate estimation: a single-centre retrospective audit.

Nuclear medicine communications Apr 7, 2025
OBJECTIVES: The 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation without race correction factor is frequently used for an estimate of glomerular filtration rate (eGFR) and to support a single-sample GFR regime. This study exa...
Creatinine Male Humans Middle Aged Neural Networks, Computer Renal Insufficiency, Chronic Retrospective Studies Glomerular Filtration Rate Female Aged Aged, 80 and over Adult
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Validation of body composition parameters extracted via deep learning-based segmentation from routine computed tomographies.

Scientific reports Apr 7, 2025
Sarcopenia and body composition metrics are strongly associated with patient outcomes. In this study, we developed and validated a flexible, open-access pipeline integrating available deep learning-based segmentation models with pre- and postprocessi...
Image Processing, Computer-Assisted Sarcopenia Muscle, Skeletal Body Composition Psoas Muscles Aged, 80 and over Male Middle Aged Deep Learning Intra-Abdominal Fat Subcutaneous Fat Humans Tomography, X-Ray Computed Female Aged
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