AIMC Topic: Aged

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Exploring the association between volatile organic compound exposure and chronic kidney disease: evidence from explainable machine learning methods.

Renal failure Jun 23, 2025
BACKGROUND: Chronic Kidney Disease (CKD) affects approximately 697.5 million people worldwide. Volatile organic compounds (VOCs) are emerging as potential risk factors, but their complex relationships with CKD may be underestimated by traditional lin...
Volatile Organic Compounds Logistic Models Nutrition Surveys Renal Insufficiency, Chronic Environmental Exposure Humans Machine Learning Female Risk Factors Aged Adult Male Middle Aged
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[Incidental pulmonary nodules on CT imaging: what to do?].

Nederlands tijdschrift voor geneeskunde Jun 23, 2025
Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage) lung cancers without any signs or symptoms. These incidental findings can be solid lesions or ground glass lesions that may be solitary or multiple. ...
Humans Incidental Findings Tomography, X-Ray Computed Middle Aged Lung Neoplasms Female Adenocarcinoma Aged Multiple Pulmonary Nodules Male Solitary Pulmonary Nodule
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Harnessing the machine learning and nomogram models: elevating prognostication in nonmetastatic gastric cancer with "double invasion" for personalized patient care.

European journal of medical research Jun 23, 2025
OBJECTIVE: To develop and validate a machine learning framework combined with a nomogram for predicting recurrence after radical gastrectomy in patients with vascular and neural invasion.
Gastrectomy Prognosis Female Aged Stomach Neoplasms Male Middle Aged Nomograms Neoplasm Invasiveness Neoplasm Recurrence, Local Humans Machine Learning Precision Medicine
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Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.

Cardiovascular diabetology Jun 23, 2025
BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classific...
Prognosis Female Reproducibility of Results Aged Male Humans Machine Learning Biomarkers Inflammation DNA Methylation Cell-Free Nucleic Acids Non-ST Elevated Myocardial Infarction Predictive Value of Tests Middle Aged Risk Assessment Severity of Illness Index Epigenesis, Genetic ST Elevation Myocardial Infarction Coronary Artery Disease Inflammation Mediators 5-Methylcytosine
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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Antibodies, Bispecific Subretinal Fluid Exudates and Transudates Intravitreal Injections Aged, 80 and over Fluorescein Angiography Male Wet Macular Degeneration Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Drug Substitution Humans France Artificial Intelligence Retrospective Studies Female Aged
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Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach.

Journal of medical Internet research Jun 23, 2025
BACKGROUND: As the global population ages, the economic burden of dementia continues to rise. Social isolation-which includes limited social interaction and feelings of loneliness-negatively affects cognitive function and is a significant risk factor...
Humans Machine Learning Female Dementia Aged Social Isolation Aged, 80 and over Actigraphy Male Loneliness Cognitive Dysfunction Ecological Momentary Assessment
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A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.

Emerging microbes & infections Jun 19, 2025
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction,...
Prospective Studies Female Aged Adult Male Middle Aged Severe Fever with Thrombocytopenia Syndrome Phlebovirus Humans Machine Learning Algorithms
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Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications.
Postoperative Complications Female ROC Curve Humans Aged Delirium Machine Learning Aged, 80 and over Retrospective Studies Male Intensive Care Units
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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screening. Paper-based cognitive screening examinations are well-validated but minimally scalable. If a digital cognitive screening examination could replicat...
Neuropsychological Tests Neurocognitive Disorders Male Middle Aged Cognitive Dysfunction Humans Internet Neural Networks, Computer Female Aged Aged, 80 and over Adult
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Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

European radiology experimental Jun 19, 2025
BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (RPE), which is a prognostic imaging biomarker for a severe course of illness. This study aimed to develop a deep learning-based algorithm for the auto...
Edema Pharyngeal Diseases Humans Neck Magnetic Resonance Imaging Neural Networks, Computer Acute Disease Male Female Aged Image Interpretation, Computer-Assisted Middle Aged Young Adult Deep Learning Adult Adolescent Sensitivity and Specificity Child
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