AIMC Topic: Aged, 80 and over

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Machine learning to detect Alzheimer's disease with data on drugs and diagnoses.

The journal of prevention of Alzheimer's disease Mar 8, 2025
BACKGROUND: Integrating machine learning with medical records offers potential for early detection of Alzheimer's disease (AD), enabling timely interventions.
Humans Alzheimer Disease Machine Learning Early Diagnosis Adult Female Sweden Sensitivity and Specificity Aged Male Aged, 80 and over Middle Aged
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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...
Cognitive Dysfunction Aged Humans Proteomics Aged, 80 and over Machine Learning Support Vector Machine Male Biomarkers Middle Aged Female Deep Learning
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Ensemble-learning approach improves fracture prediction using genomic and phenotypic data.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Mar 7, 2025
UNLABELLED: This study presents an innovative ensemble machine learning model integrating genomic and clinical data to enhance the prediction of major osteoporotic fractures in older men. The Super Learner (SL) model achieved superior performance (AU...
Aged, 80 and over Male Middle Aged Risk Assessment Genomics Phenotype Bone Density Risk Factors Aged Osteoporotic Fractures Humans Machine Learning Algorithms
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An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

Aging clinical and experimental research Mar 7, 2025
BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of muscle mass and function, resulting in adverse health outcomes such as falls, functional decline, and death. Knee osteoarthritis (KOA) is a common chro...
Humans Longitudinal Studies Risk Factors Machine Learning East Asian People Aged Female Sarcopenia Aged, 80 and over Osteoarthritis, Knee Male China
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Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging.

Japanese journal of radiology Mar 5, 2025
PURPOSE: To assess the utility of dual-type deep learning (DL)-based image reconstruction with DL-based image denoising and super-resolution processing by comparing images reconstructed with the conventional method in head and neck fat-suppressed (Fs...
Aged, 80 and over Adult Male Middle Aged Deep Learning Humans Retrospective Studies Female Aged Image Interpretation, Computer-Assisted Head Signal-To-Noise Ratio Image Processing, Computer-Assisted Head and Neck Neoplasms Neck Magnetic Resonance Imaging
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Added value of artificial intelligence for the detection of pelvic and hip fractures.

Japanese journal of radiology Mar 5, 2025
PURPOSE: To assess the added value of artificial intelligence (AI) for radiologists and emergency physicians in the radiographic detection of pelvic fractures.
Hip Fractures Retrospective Studies Female Humans Aged Artificial Intelligence Sensitivity and Specificity Aged, 80 and over Male Adult Middle Aged Pelvic Bones Fractures, Bone
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Case-Control Studies Adolescent Suicide Prevention United States Natural Language Processing United States Department of Veterans Affairs Veterans United States Department of Defense Humans Suicide, Completed Predictive Learning Models Young Adult Electronic Health Records Psychological Well-Being Adult Female Male Aged Middle Aged Aged, 80 and over Risk Assessment
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Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: The incidence of keratinocyte carcinomas (KCs) is increasing every year, making the task of developing new methods for KC early diagnosis of utmost medical and economical importance.
Male Middle Aged Diagnosis, Computer-Assisted Skin Neoplasms Support Vector Machine Discriminant Analysis Carcinoma, Basal Cell Spectrometry, Fluorescence Skin Carcinoma, Squamous Cell Humans Optical Imaging Aged Machine Learning Keratosis, Actinic Aged, 80 and over Female
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CT Differentiation and Prognostic Modeling in COVID-19 and Influenza A Pneumonia.

Academic radiology Mar 3, 2025
RATIONALE AND OBJECTIVES: This study aimed to compare CT features of COVID-19 and Influenza A pneumonia, develop a diagnostic differential model, and explore a prognostic model for lesion resolution.
Prognosis Retrospective Studies Tomography, X-Ray Computed Female SARS-CoV-2 Humans Machine Learning COVID-19 Lung Influenza A virus Nomograms Diagnosis, Differential Aged Influenza, Human Aged, 80 and over Adult Male Middle Aged
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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Postoperative Complications Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Risk Factors Machine Learning Aged Databases, Factual Aged, 80 and over Humans Retrospective Studies Male Female Risk Assessment
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