AIMC Topic: Aged, 80 and over

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Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data.

Journal of Alzheimer's disease : JAD Jan 10, 2025
BACKGROUND: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or no...
Middle Aged Cognitive Dysfunction Alzheimer Disease Neuropsychological Tests Humans Machine Learning Biomarkers Female Aged Aged, 80 and over Male
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Noninvasive identification of HER2 status by integrating multiparametric MRI-based radiomics model with the vesical imaging-reporting and data system (VI-RADS) score in bladder urothelial carcinoma.

Abdominal radiology (New York) Jan 9, 2025
PURPOSE: HER2 expression is crucial for the application of HER2-targeted antibody-drug conjugates. This study aims to construct a predictive model by integrating multiparametric magnetic resonance imaging (mpMRI) based multimodal radiomics and the Ve...
Multiparametric Magnetic Resonance Imaging Humans Urinary Bladder Neoplasms Aged Retrospective Studies Receptor, ErbB-2 Female Aged, 80 and over Carcinoma, Transitional Cell Radiomics Radiology Information Systems Male Middle Aged
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Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort.

European radiology Jan 9, 2025
OBJECTIVE: To establish morphological and radiomic models for early prediction of cognitive impairment associated with cerebrovascular disease (CI-CVD) in an elderly cohort based on cerebral magnetic resonance angiography (MRA).
Humans Retrospective Studies Female Risk Factors Cognitive Dysfunction Aged Cohort Studies Aged, 80 and over Predictive Value of Tests Radiomics Cerebrovascular Disorders Male Magnetic Resonance Angiography Risk Assessment
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Harnessing NLP to investigate biomarker interactions and CVD risks in elderly chronic kidney disease patients.

SLAS technology Jan 9, 2025
Chronic kidney disease (CKD) significantly increases the risk of CVD diseases, particularly among elderly patients. Understanding the interaction between several biomarkers and cardiovascular (CVD) risks is crucial for improving patient outcomes and ...
Cardiovascular Diseases Renal Insufficiency, Chronic Natural Language Processing Fibroblast Growth Factor-23 Risk Factors Aged Humans Aged, 80 and over Biomarkers Male Female
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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...
Middle Aged Adolescent Aged Xerostomia Aged, 80 and over Head and Neck Neoplasms Humans Heavy Ion Radiotherapy Young Adult Proton Therapy Machine Learning Adult Retrospective Studies Male Female
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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...
Radiography, Thoracic Hospital Mortality Predictive Value of Tests Feasibility Studies Heart Failure Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Deep Learning Time Factors Humans Decision Support Techniques Prognosis Electronic Health Records Female
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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.
Humans Machine Learning Retrospective Studies Female Risk Factors Treatment Outcome Endovascular Procedures Aged Decision Trees Aged, 80 and over Endoleak Aortic Aneurysm, Abdominal Male Endovascular Aneurysm Repair Pulse Wave Analysis Middle Aged Smoking Risk Assessment
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Aortic Valve Predictive Value of Tests Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Automation Severity of Illness Index Aged, 80 and over Artificial Intelligence Time Factors Male Retrospective Studies Treatment Outcome Ventricular Function, Left Female Aortic Valve Stenosis Stroke Volume Risk Factors Risk Assessment Aged
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Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Anaesthesia Jan 8, 2025
INTRODUCTION: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predi...
Humans Machine Learning Databases, Factual Female Regression Analysis Elective Surgical Procedures Surgical Procedures, Operative Aged Aged, 80 and over Male Middle Aged Postoperative Complications
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Unveiling neural activity changes in mild cognitive impairment using microstate analysis and machine learning.

Journal of Alzheimer's disease : JAD Jan 8, 2025
BACKGROUND: Mild cognitive impairment (MCI) is recognized as a condition that may increase the risk of developing Alzheimer's disease (AD). Understanding the neural correlates of MCI is crucial for elucidating its pathophysiology and developing effec...
Humans Machine Learning Entropy Male Brain Middle Aged Cognitive Dysfunction Female Principal Component Analysis Aged Electroencephalography Aged, 80 and over
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