AIMC Topic: Aged, 80 and over

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Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

Clinical interventions in aging Feb 27, 2025
BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged patients, who were at a high risk of postoperative pneumonia due to their frailty and the presence of multiple comorbidities. This study aims to establi...
Risk Assessment Female Logistic Models Postoperative Complications Risk Factors Support Vector Machine China Aged, 80 and over Humans Pneumonia Incidence Male Neural Networks, Computer Hip Fractures Machine Learning Algorithms
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CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer's disease.

BMC geriatrics Feb 26, 2025
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder that significantly impacts health care worldwide, particularly among the elderly population. The accurate classification of AD stages is essential for slowing disease progression an...
Aged, 80 and over Male Disease Progression Deep Learning Magnetic Resonance Imaging Algorithms Brain Female Aged Multimodal Imaging Alzheimer Disease Humans
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Linguistic cues for automatic assessment of Alzheimer's disease across languages.

Journal of Alzheimer's disease : JAD Feb 25, 2025
BackgroundMost common forms of dementia, including Alzheimer's disease, are associated with alterations in spoken language.ObjectiveThis study explores the potential of a speech-based machine learning (ML) approach in estimating cognitive impairment,...
Linguistics Language Female Speech Humans Cognitive Dysfunction Aged Alzheimer Disease Machine Learning Aged, 80 and over Cues Male
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Preoperative clinical radiomics model based on deep learning in prognostic assessment of patients with gallbladder carcinoma.

BMC cancer Feb 25, 2025
OBJECTIVE: We aimed to develop a preoperative clinical radiomics survival prediction model based on the radiomics features via deep learning to provide a reference basis for preoperative assessment and treatment decisions for patients with gallbladde...
Female Aged Aged, 80 and over Adult Radiomics Humans Male Prognosis Preoperative Care Middle Aged Retrospective Studies Gallbladder Neoplasms Deep Learning Tomography, X-Ray Computed Preoperative Period
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Urban and rural disparities in stroke prediction using machine learning among Chinese older adults.

Scientific reports Feb 25, 2025
Stroke is a significant health concern in China. Differences in stroke risk between rural and urban areas have been highlighted in prior research. However, there is a scarcity of studies on urban-rural differences in predicting stroke. This study aim...
Middle Aged China Rural Population Female Urban Population Longitudinal Studies Risk Factors Humans East Asian People Aged Bayes Theorem Stroke Aged, 80 and over Male Machine Learning
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Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability.

Scientific reports Feb 25, 2025
This research aims to design and validate a machine learning model to predict the probability of urinary tract infections within 90 days post-urostomy in bladder cancer patients. Clinical and follow-up information from 317 patients who had urostomy p...
Support Vector Machine Urinary Bladder Neoplasms Urinary Tract Infections Aged Aged, 80 and over Male Middle Aged Postoperative Complications Machine Learning Algorithms Female Risk Factors Humans
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Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study.

JMIR aging Feb 25, 2025
BACKGROUND: Understanding the dementia disease trajectory and clinical practice patterns in outpatient settings is vital for effective management. Knowledge about the path from initial memory loss complaints to dementia diagnosis remains limited.
Practice Patterns, Physicians' Male Middle Aged Dementia Natural Language Processing Humans Retrospective Studies Electronic Health Records Female Aged Aged, 80 and over
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A PET/CT-based 3D deep learning model for predicting spread through air spaces in stage I lung adenocarcinoma.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Feb 24, 2025
PURPOSE: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for predicting the preoperative status of spread through air spa...
Female Aged Aged, 80 and over Sensitivity and Specificity Male Humans Retrospective Studies Middle Aged Deep Learning Imaging, Three-Dimensional Positron Emission Tomography Computed Tomography Lung Neoplasms Neoplasm Staging Radiopharmaceuticals Fluorodeoxyglucose F18 Adenocarcinoma of Lung
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Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization.

Academic radiology Feb 24, 2025
RATIONALE AND OBJECTIVES: This study assesses the image quality of temporal bone ultra-high-resolution (UHR) Computed tomography (CT) scans in adults and children using hybrid iterative reconstruction (HIR) and a novel, vendor-specific deep learning-...
Radiographic Image Interpretation, Computer-Assisted Young Adult Temporal Bone Adult Male Middle Aged Infant Deep Learning Retrospective Studies Adolescent Tomography, X-Ray Computed Humans Child, Preschool Female Child Aged Aged, 80 and over
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Deep learning to quantify the pace of brain aging in relation to neurocognitive changes.

Proceedings of the National Academy of Sciences of the United States of America Feb 24, 2025
Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since bi...
Humans Neural Networks, Computer Brain Female Male Aging Middle Aged Deep Learning Cognition Aged Aged, 80 and over Adult Cross-Sectional Studies Longitudinal Studies Magnetic Resonance Imaging Alzheimer Disease
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