AIMC Topic:
Middle Aged

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The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.

Frontiers in public health Jan 10, 2025
BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors such as socioeconomic status, geographical location, campaign quality, and service accessibility influence vaccine uptake. In the Wuxi region of China, ...
Socioeconomic Factors Adolescent Health Services Accessibility Vaccination Urban Population Humans Health Promotion Female Rural Population Adult Cross-Sectional Studies Male Middle Aged Public Health China Surveys and Questionnaires
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Accelerated High-resolution T1- and T2-weighted Breast MRI with Deep Learning Super-resolution Reconstruction.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To assess the performance of an industry-developed deep learning (DL) algorithm to reconstruct low-resolution Cartesian T1-weighted dynamic contrast-enhanced (T1w) and T2-weighted turbo-spin-echo (T2w) sequences and compare ...
Breast Image Interpretation, Computer-Assisted Image Enhancement Signal-To-Noise Ratio Middle Aged Deep Learning Contrast Media Humans Magnetic Resonance Imaging Algorithms Prospective Studies Female Aged Adult Breast Neoplasms
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Machine Learning Approach for Sepsis Risk Assessment in Ischemic Stroke Patients.

Journal of intensive care medicine Jan 9, 2025
BackgroundIschemic stroke is a critical neurological condition, with infection representing a significant aspect of its clinical management. Sepsis, a life-threatening organ dysfunction resulting from infection, is among the most dangerous complicati...
Humans Middle Aged Risk Assessment Sepsis Logistic Models Ischemic Stroke Machine Learning Intensive Care Units Female Aged Male
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Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To develop and externally validate interpretable CT radiomics-based machine learning (ML) models for preoperative Ki-67 expression prediction in clear cell renal cell carcinoma (ccRCC).
Radiomics Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Ki-67 Antigen Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Humans Machine Learning
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Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting.

Sleep health Jan 9, 2025
GOAL AND AIMS: One challenge using wearable sensors is nonwear time. Without a nonwear (e.g., capacitive) sensor, actigraphy data quality can be biased by subjective determinations confounding sleep/wake classification. We developed and evaluated a m...
Sleep Actigraphy Female Humans Adult Machine Learning Male Algorithms Middle Aged Wearable Electronic Devices
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Traditional versus modern approaches to screening mammography: a comparison of computer-assisted detection for synthetic 2D mammography versus an artificial intelligence algorithm for digital breast tomosynthesis.

Breast cancer research and treatment Jan 9, 2025
PURPOSE: Traditional computer-assisted detection (CADe) algorithms were developed for 2D mammography, while modern artificial intelligence (AI) algorithms can be applied to 2D mammography and/or digital breast tomosynthesis (DBT). The objective is to...
Humans Artificial Intelligence Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Algorithms Middle Aged Female Deep Learning Aged ROC Curve Adult Early Detection of Cancer
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Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 9, 2025
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Young Adult Adult Male Middle Aged Adolescent Head and Neck Neoplasms Retrospective Studies Proton Therapy Humans Female Xerostomia Machine Learning Aged Heavy Ion Radiotherapy Aged, 80 and over
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Humans Retrospective Studies Female Reproducibility of Results Aged Male Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Coronary Vessels
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Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

The international journal of cardiovascular imaging Jan 9, 2025
Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessme...
Risk Factors Aged Aged, 80 and over Male Middle Aged Prognosis Electronic Health Records Female Reproducibility of Results Feasibility Studies Heart Failure Radiography, Thoracic Risk Assessment Deep Learning Time Factors Hospital Mortality Predictive Value of Tests Humans Decision Support Techniques
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Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

The Journal of surgical research Jan 9, 2025
INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients undergoing endovascular aortic repair (EVAR) for abdominal aortic aneurysms (AAA) was developed using machine learning-based decision tree analysis.
Endovascular Procedures Endoleak Endovascular Aneurysm Repair Treatment Outcome Decision Trees Aortic Aneurysm, Abdominal Pulse Wave Analysis Aged, 80 and over Smoking Male Middle Aged Machine Learning Risk Assessment Retrospective Studies Humans Female Risk Factors Aged
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