AIMC Topic: Aged, 80 and over

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Exploring determinant factors influencing muscle quality and sarcopenia in Bilbao's older adult population through machine learning: A comprehensive analysis approach.

PloS one Dec 31, 2024
BACKGROUND: Sarcopenia and reduced muscle quality index have garnered special attention due to their prevalence among older individuals and the adverse effects they generate. Early detection of these geriatric pathologies holds significant potential,...
Sarcopenia Aged Humans Muscle, Skeletal Aged, 80 and over Machine Learning Muscle Strength Cross-Sectional Studies Algorithms Male Female Quality of Life
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Machine Learning Prediction for Postdischarge Falls in Older Adults: A Multicenter Prospective Study.

Journal of the American Medical Directors Association Dec 30, 2024
OBJECTIVES: The study aimed to develop a machine learning (ML) model to predict early postdischarge falls in older adults using data that are easy to collect in acute care hospitals. This may reduce the burden imposed by complex measures on patients ...
Humans Machine Learning Prospective Studies Accidental Falls Patient Discharge Japan Female Aged Aged, 80 and over Male Risk Assessment
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Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features.

Radiation oncology (London, England) Dec 30, 2024
BACKGROUND AND PURPOSE: Timely identification of local failure after stereotactic radiotherapy for brain metastases allows for treatment modifications, potentially improving outcomes. While previous studies showed that adding radiomics or Deep Learni...
Middle Aged Deep Learning Magnetic Resonance Imaging Adult Radiosurgery Prognosis Humans Radiomics Retrospective Studies Brain Neoplasms Female Male Aged Aged, 80 and over
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

BMC musculoskeletal disorders Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Intra-Articular Fractures Wrist Joint Wrist Fractures Hand Strength Radiography Range of Motion, Articular Bone Plates Radius Fractures Treatment Outcome Follow-Up Studies Fracture Fixation, Internal Cluster Analysis Humans Aged, 80 and over Machine Learning Young Adult Retrospective Studies Adult Female Male Aged Middle Aged
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Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition decline in patients with silent cerebrovascular disease (SCD) with white matter hyperintensities (WMH) of vascular origin. However, the evaluation of the...
Humans Algorithms Magnetic Resonance Imaging Predictive Value of Tests Cerebrovascular Disorders Image Interpretation, Computer-Assisted Male White Matter Female Cholinergic Neurons Middle Aged Reproducibility of Results Deep Learning Leukoencephalopathies Aged Cognitive Dysfunction Cholinergic Fibers Aged, 80 and over Cognition
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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning met...
Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Humans Treatment Outcome Machine Learning Predictive Value of Tests Aged, 80 and over Decision Support Techniques Ischemic Stroke Male Databases, Factual Endovascular Procedures Middle Aged Prospective Studies Medical Futility Risk Assessment Time Factors
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Machine learning-based prognostic modeling in gallbladder cancer using clinical data and pre-treatment [F]-FDG-PET-radiomic features.

Japanese journal of radiology Dec 28, 2024
OBJECTIVES: This study evaluates the effectiveness of machine learning (ML) models that incorporate clinical and 2-deoxy-2-[F]fluoro-D-glucose ([F]-FDG)-positron emission tomography (PET)-radiomic features for predicting outcomes in gallbladder cance...
Aged, 80 and over Adult Radiomics Male Middle Aged Positron Emission Tomography Computed Tomography Radiopharmaceuticals Fluorodeoxyglucose F18 Machine Learning Gallbladder Neoplasms Prognosis Gallbladder Retrospective Studies Female Aged Humans
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Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Scientific reports Dec 28, 2024
Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some patients experience functional disability following OVF. This study aimed to develop prediction models for new-onset functional impairment following admi...
Humans Machine Learning Female Aged Aged, 80 and over Male Patient Discharge Spinal Fractures Osteoporotic Fractures
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Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning.

Scientific reports Dec 28, 2024
Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically predict HAI in AIS patients. Therefore, we employed t...
ROC Curve Ischemic Stroke Cross Infection Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Algorithms Prognosis
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A proficient approach for the classification of Alzheimer's disease using a hybridization of machine learning and deep learning.

Scientific reports Dec 28, 2024
Alzheimer's disease (AD) is a neurodegenerative disorder. It causes progressive degeneration of the nervous system, affecting the cognitive ability of the human brain. Over the past two decades, neuroimaging data from Magnetic Resonance Imaging (MRI)...
Alzheimer Disease Neuroimaging Aged, 80 and over Male Deep Learning Magnetic Resonance Imaging Humans Machine Learning Algorithms Brain Female Aged
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