AIMC Topic: Aged

Clear Filters Showing 2731 to 2740 of 12945 articles

Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning.

Cardiovascular diabetology Nov 26, 2024
BACKGROUND: The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. Glycaemic control is important in the AF management. Glycaemic variability (GV), an emerging marker of glycaemic control, is associated with unfavourab...
Blood Glucose Time Factors Hospital Mortality Predictive Value of Tests Atrial Fibrillation Intensive Care Units Cause of Death Glycemic Control Aged, 80 and over Biomarkers Female Male Prognosis Humans Reproducibility of Results Middle Aged Retrospective Studies Machine Learning Risk Assessment Risk Factors Critical Illness Decision Support Techniques Aged Databases, Factual
View on PubMed DOI

Telerehabilitation using a 2-D planar arm rehabilitation robot for hemiparetic stroke: a feasibility study of clinic-to-home exergaming therapy.

Journal of neuroengineering and rehabilitation Nov 26, 2024
BACKGROUND: We evaluated the feasibility, safety, and efficacy of a 2D-planar robot for minimally supervised home-based upper-limb therapy for post-stroke hemiparesis.
Cost-Benefit Analysis Paresis Stroke Rehabilitation Exergaming Telerehabilitation Stroke Feasibility Studies Arm Aged Male Humans Middle Aged Female Treatment Outcome Robotics
View on PubMed DOI

Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005-2018.

Lipids in health and disease Nov 26, 2024
BACKGROUND: The intake of dietary antioxidants and glycolipid metabolism are closely related to chronic kidney disease (CKD), particularly among individuals with abdominal obesity. Nevertheless, the cumulative effect of multiple comorbid risk factors...
Machine Learning Female Risk Factors Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Waist Circumference Glycolipids Triglycerides Antioxidants Nutrition Surveys Renal Insufficiency, Chronic Obesity, Abdominal
View on PubMed DOI

Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging.

BMC medical imaging Nov 26, 2024
BACKGROUND: A deep learning (DL) model that can automatically detect and classify cervical canal and neural foraminal stenosis using cervical spine magnetic resonance imaging (MRI) can improve diagnostic accuracy and efficiency.
Spinal Stenosis Female Aged Adult Sensitivity and Specificity Male Humans Middle Aged Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Cervical Vertebrae
View on PubMed DOI

Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors.

Scientific reports Nov 26, 2024
To develop and validate a machine learning (ML) model which combined computed tomography (CT) semantic and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors (GISTs) patients. We retrospectively collected...
Male Middle Aged ROC Curve Gastrointestinal Neoplasms Semantics Tomography, X-Ray Computed Gastrointestinal Stromal Tumors Female Ki-67 Antigen Aged Adult Radiomics Humans Machine Learning Retrospective Studies
View on PubMed DOI

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...
Humans Algorithms Biomarkers Brain Disease Progression Female Deep Learning Aged Magnetic Resonance Imaging Aged, 80 and over Alzheimer Disease Male Neuroimaging
View on PubMed DOI

Advancing healthcare through mobile collaboration: a survey of intelligent nursing robots research.

Frontiers in public health Nov 26, 2024
Mobile collaborative intelligent nursing robots have gained significant attention in the healthcare sector as an innovative solution to address the challenges posed by the increasing aging population and limited medical resources. This article provid...
Humans Aged Surveys and Questionnaires Robotics
View on PubMed DOI

The Value of Whole-Volume Radiomics Machine Learning Model Based on Multiparametric MRI in Predicting Triple-Negative Breast Cancer.

Journal of computer assisted tomography Nov 25, 2024
OBJECTIVE: This study aimed to investigate the value of radiomics analysis in the precise diagnosis of triple-negative breast cancer (TNBC) based on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and apparent diffusion coeffici...
Humans Machine Learning Retrospective Studies Female Aged Contrast Media Adult Magnetic Resonance Imaging Radiomics Breast Middle Aged Image Interpretation, Computer-Assisted Triple Negative Breast Neoplasms Multiparametric Magnetic Resonance Imaging
View on PubMed DOI

Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study.

Academic radiology Nov 25, 2024
RATIONALE AND OBJECTIVES: Missed nodules in chest radiographs (CXRs) are common occurrences. We assessed the effect of artificial intelligence (AI) as a second reader on the accuracy of radiologists and non-radiology physicians in lung nodule detecti...
Aged Sensitivity and Specificity Male Middle Aged Lung Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Radiography, Thoracic Solitary Pulmonary Nodule Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Humans Artificial Intelligence
View on PubMed DOI

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...
Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Computed Tomography Angiography Cerebral Angiography Humans Female Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Deep Learning Ischemic Stroke
View on PubMed DOI
Popular Topics
Recent Journals