AIMC Topic: Aged

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Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework.

Scientific reports Aug 29, 2024
A stroke is a dangerous, life-threatening disease that mostly affects people over 65, but an unhealthy diet is also contributing to the development of strokes at younger ages. Strokes can be treated successfully if they are identified early enough, a...
Support Vector Machine Decision Trees Stroke Humans Machine Learning Algorithms Female Aged Male Logistic Models
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Identification of cancer stem cell-related genes through single cells and machine learning for predicting prostate cancer prognosis and immunotherapy.

Frontiers in immunology Aug 29, 2024
BACKGROUND: Cancer stem cells (CSCs) are a subset of cells within tumors that possess the unique ability to self-renew and give rise to diverse tumor cells. These cells are crucial in driving tumor metastasis, recurrence, and resistance to treatment....
Immunotherapy Biomarkers, Tumor Gene Expression Regulation, Neoplastic Male Humans Neoplastic Stem Cells Middle Aged Machine Learning Prostatic Neoplasms Molecular Docking Simulation Prognosis Single-Cell Analysis Aged
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Digital social media expression and social adaptability of the older adult driven by artificial intelligence.

Frontiers in public health Aug 29, 2024
INTRODUCTION: This study examines the impact of digital new media art on the health literacy and digital health literacy of older adults. It explores how digital new media art influences the social adaptability of the older adult, with a focus on var...
Health Literacy Male Middle Aged Smartphone Social Media Humans Artificial Intelligence Female Aged Aged, 80 and over
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Assessment of inter-rater and intra-rater reliability of the Luna EMG robot as a tool for assessing upper limb proprioception in patients with stroke-a prospective observational study.

PeerJ Aug 29, 2024
BACKGROUND: The aim of the study was to assess the inter-rater and intra-rater agreement of measurements performed with the Luna EMG (electromyography) multifunctional robot, a tool for evaluation of upper limb proprioception in individuals with stro...
Humans Prospective Studies Female Reproducibility of Results Robotics Stroke Rehabilitation Aged Electromyography Proprioception Adult Stroke Male Observer Variation Middle Aged Upper Extremity
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Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.

Investigative radiology Aug 28, 2024
OBJECTIVES: The aim of this study was to evaluate the use of a multicontrast deep learning (DL)-reconstructed 4-fold accelerated 2-dimensional (2D) turbo spin echo (TSE) protocol and the feasibility of 3-dimensional (3D) superresolution reconstructio...
Humans Prospective Studies Female Reproducibility of Results Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Knee Joint Adult Feasibility Studies Male Image Interpretation, Computer-Assisted Middle Aged Deep Learning
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Applications of Machine Learning in Meniere's Disease Assessment Based on Pure-Tone Audiometry.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 28, 2024
OBJECTIVE: To apply machine learning models based on air conduction thresholds of pure-tone audiometry for automatic diagnosis of Meniere's disease (MD) and prediction of endolymphatic hydrops (EH).
Magnetic Resonance Imaging Audiometry, Pure-Tone Meniere Disease Endolymphatic Hydrops Humans Machine Learning Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged
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Discrepancies in ASPECTS obtained by artificial intelligence and experts: Associated factors and prognostic implications.

European journal of radiology Aug 28, 2024
PURPOSE: The differences between the Alberta Stroke Program Early CT Score (ASPECTS) obtained by experts and artificial intelligence (AI) software require elucidation. We aimed to characterize the discrepancies between the ASPECTS obtained by AI and ...
Aged Prognosis Male Ischemic Stroke Retrospective Studies Middle Aged Stroke Humans Tomography, X-Ray Computed Cohort Studies Artificial Intelligence Female Reproducibility of Results
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Neoplasm Recurrence, Local Microwaves Margins of Excision Adenocarcinoma of Lung Ablation Techniques Treatment Outcome Predictive Value of Tests Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Female Risk Factors Aged Radiomics Male Middle Aged Risk Assessment Time Factors Lung Neoplasms Machine Learning Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Humans
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2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases.

European journal of radiology Aug 28, 2024
BACKGROUND: Brain metastases (BMs) represents a severe neurological complication stemming from cancers originating from various sources. It is a highly challenging clinical task to accurately distinguish the pathological subtypes of brain metastatic ...
Humans Retrospective Studies Female Diagnosis, Differential Image Interpretation, Computer-Assisted Male Middle Aged Aged Deep Learning Adult Lung Neoplasms Sensitivity and Specificity Magnetic Resonance Imaging Brain Neoplasms
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Reproducibility of Results Aged Aged, 80 and over Adult Male Humans Algorithms Retrospective Studies Female Feasibility Studies Pulmonary Embolism Computed Tomography Angiography Pulmonary Artery Incidental Findings Middle Aged Deep Learning Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted
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