AIMC Topic: Aged, 80 and over

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Effective Alzheimer's disease detection using enhanced Xception blending with snapshot ensemble.

Scientific reports Nov 26, 2024
Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, which impairs decision-making, problem-solving, and communication. While there is no cure, early detection can facilitate treatments to slow its progress...
Magnetic Resonance Imaging Humans Alzheimer Disease Algorithms Neuroimaging Aged, 80 and over Biomarkers Male Brain Disease Progression Female Deep Learning Aged
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Deep Learning Based Detection of Large Vessel Occlusions in Acute Ischemic Stroke Using High-Resolution Photon Counting Computed Tomography and Conventional Multidetector Computed Tomography.

Clinical neuroradiology Nov 25, 2024
PURPOSE: Deep learning (DL) methods for detecting large vessel occlusion (LVO) in acute ischemic stroke (AIS) show promise, but the effect of computed tomography angiography (CTA) image quality on DL performance is unclear. Our study investigates the...
Deep Learning Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Computed Tomography Angiography Cerebral Angiography Aged Aged, 80 and over Sensitivity and Specificity Male Humans Middle Aged Female
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Deep-learning assessment of hippocampal magnetic susceptibility in Alzheimer's disease.

Journal of Alzheimer's disease : JAD Nov 25, 2024
BACKGROUND: Quantitative susceptibility mapping (QSM) is pivotal for analyzing neurodegenerative diseases. However, accurate hippocampal segmentation remains a challenge.
Aged, 80 and over Male Middle Aged Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Hippocampus Humans Neural Networks, Computer Female Aged
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Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes.

Journal of Alzheimer's disease : JAD Nov 25, 2024
BACKGROUND: Alzheimer's disease (AD) is strongly associated with slowly progressive hippocampal atrophy. Elucidating the relationships between local morphometric changes and disease status for early diagnosis could be aided by machine learning algori...
Humans Machine Learning Female Hippocampus Neuroimaging Cognition Aged Multivariate Analysis Support Vector Machine Aged, 80 and over Neuropsychological Tests Magnetic Resonance Imaging Male Organ Size Cognitive Dysfunction Alzheimer Disease
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Graph Convolutional Network for AD and MCI Diagnosis Utilizing Peripheral DNA Methylation: Réseau de neurones en graphes pour le diagnostic de la MA et du TCL à l'aide de la méthylation de l'ADN périphérique.

Canadian journal of psychiatry. Revue canadienne de psychiatrie Nov 25, 2024
OBJECTIVE: Blood DNA methylation (DNAm) alterations have been widely reported in the onset and progression of mild cognitive impairment (MCI) and Alzheimer's disease (AD); however, DNAm is underutilized as a diagnostic biomarker for these diseases. W...
Alzheimer Disease Aged, 80 and over Humans Male Cognitive Dysfunction Neural Networks, Computer DNA Methylation Machine Learning Biomarkers Female Aged
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Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors.

JMIR aging Nov 25, 2024
BACKGROUND: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-bei...
Focus Groups Self-Help Devices Humans Female Aged Middle Aged Aged, 80 and over Socioeconomic Factors Male Robotics Aging Activities of Daily Living Sedentary Behavior
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Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer's disease and normal aging.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Nov 24, 2024
OBJECTIVE: To apply machine learning approaches on EEG event-related oscillations (ERO) to discriminate preclinical Alzheimer's disease (AD) from age- and sex-matched controls.
Memory, Short-Term Humans Aged, 80 and over Alzheimer Disease Machine Learning Male Evoked Potentials Aging Female Middle Aged Aged Electroencephalography
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Treatment Outcome Decision Trees Predictive Value of Tests Aortic Aneurysm, Abdominal Nutritional Status Male Middle Aged Risk Assessment Time Factors Humans Blood Vessel Prosthesis Implantation Endovascular Procedures Endovascular Aneurysm Repair
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Endarterectomy, Carotid Predictive Value of Tests Wakefulness Carotid Stenosis Neurologic Examination Risk Factors Aged Machine Learning Humans Aged, 80 and over Middle Aged Decision Support Techniques Male Risk Assessment Retrospective Studies Case-Control Studies Female Intraoperative Neurophysiological Monitoring Reproducibility of Results Treatment Outcome
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Factors inducing cutaneous adverse reactions in cancer patients treated with PD-1 and PD-L1 inhibitors: a machine-learning algorithm approach.

Immunopharmacology and immunotoxicology Nov 22, 2024
BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective managem...
Humans Machine Learning Algorithms Female Neoplasms Immune Checkpoint Inhibitors B7-H1 Antigen Programmed Cell Death 1 Receptor Drug Eruptions Aged Aged, 80 and over Adult Male Middle Aged
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