AIMC Topic: Aged

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Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnosis of brain disorders. However, state-of-the-art studies used to build the FCN using a single brain parcellation atlas at...
Brain Diseases Neuroimaging Atlases as Topic Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Brain Female Aged Male
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Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were few studies on neural activity changes in the brain during execution. This study aimed to investigat...
Occipital Lobe Prefrontal Cortex Robotics Humans Pilot Projects Young Adult Hand Brain Virtual Reality Adult Female Healthy Volunteers Hand Strength Male Aged Stroke Rehabilitation Middle Aged Motor Cortex Spectroscopy, Near-Infrared
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Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from daily activities. The goal of thi...
Hypokinesia Tremor Dyskinesias Female Reproducibility of Results Middle Aged Feasibility Studies Humans Wearable Electronic Devices Activities of Daily Living Aged Machine Learning Parkinson Disease Video Recording Sensitivity and Specificity Algorithms Monitoring, Ambulatory Equipment Design Male Accelerometry
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SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI.

Journal of imaging informatics in medicine Oct 28, 2024
Timely and precise identification of acute ischemic stroke (AIS) within 4.5 h is imperative for effective treatment decision-making. This study aims to construct a novel network that utilizes limited datasets to recognize AIS patients within this cri...
Humans Neural Networks, Computer Retrospective Studies Middle Aged Magnetic Resonance Imaging Ischemic Stroke Thrombolytic Therapy Diffusion Magnetic Resonance Imaging Female Aged Sensitivity and Specificity Male
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Utilization of Machine Learning Models to More Accurately Predict Case Duration in Primary Total Joint Arthroplasty.

The Journal of arthroplasty Oct 28, 2024
BACKGROUND: Accurate operative scheduling is essential for the appropriation of operating room esources. We sought to implement a machine learning model to predict primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) case time.
Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Humans Male Machine Learning Middle Aged Retrospective Studies Operative Time Female Appointments and Schedules Aged
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Decision Fusion Model for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Multi-MR Habitat Imaging and Machine-Learning Classifiers.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Accurate prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is crucial for guiding treatment. This study evaluates and compares the performance of clinicoradiologic, traditional radiomics, deep-lear...
Humans Machine Learning Retrospective Studies Female Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Neoplasm Invasiveness Microvessels Aged Adult Male Middle Aged
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Deep Learning Using One-stop-shop CT Scan to Predict Hemorrhagic Transformation in Stroke Patients Undergoing Reperfusion Therapy: A Multicenter Study.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Hemorrhagic transformation (HT) is one of the most serious complications in patients with acute ischemic stroke (AIS) following reperfusion therapy. The purpose of this study is to develop and validate deep learning (DL) mod...
Ischemic Stroke Stroke Reperfusion Computed Tomography Angiography Aged Male Middle Aged Deep Learning Humans Cerebral Hemorrhage Retrospective Studies Tomography, X-Ray Computed Female
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Clinical Pilot of a Deep Learning Elastic Registration Algorithm to Improve Misregistration Artifact and Image Quality on Routine Oncologic PET/CT.

Academic radiology Oct 28, 2024
RATIONALE AND OBJECTIVES: Misregistration artifacts between the PET and attenuation correction CT (CTAC) exams can degrade image quality and cause diagnostic errors. Deep learning (DL)-warped elastic registration methods have been proposed to improve...
Organometallic Compounds Positron Emission Tomography Computed Tomography Radiopharmaceuticals Artifacts Fluorodeoxyglucose F18 Retrospective Studies Female Aged Adult Male Middle Aged Neoplasms Deep Learning Pilot Projects Humans Algorithms
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Impact of deep Learning-enhanced contrast on diagnostic accuracy in stroke CT angiography.

European journal of radiology Oct 28, 2024
PURPOSE: To examine the impact of deep learning-augmented contrast enhancement on image quality and diagnostic accuracy of poorly contrasted CT angiography in patients with suspected stroke.
Male Middle Aged Deep Learning Retrospective Studies Contrast Media Female Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Aged Stroke Radiographic Image Enhancement Sensitivity and Specificity Signal-To-Noise Ratio Computed Tomography Angiography Cerebral Angiography Humans
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Plasma protein-based identification of neuroimage-driven subtypes in mild cognitive impairment via protein-protein interaction aware explainable graph propagational network.

Computers in biology and medicine Oct 28, 2024
As an early indicator of dementia, mild cognitive impairment (MCI) requires specialized treatment according to its subtypes for the effective prevention and management of dementia progression. Based on the neuropathological characteristics, MCI can b...
Blood Proteins Alzheimer Disease Female Neuroimaging Humans Aged Machine Learning Male Biomarkers Cognitive Dysfunction Protein Interaction Maps
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