AIMC Topic: Aged, 80 and over

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Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice Jun 24, 2025
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...
Humans Retrospective Studies Male Middle Aged Deep Learning Adolescent Hospitals, University Female Aged Aged, 80 and over Young Adult Adult Pharmacy Service, Hospital Drug-Related Side Effects and Adverse Reactions France Drug Prescriptions Pharmacists
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Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.

BMJ open ophthalmology Jun 23, 2025
PURPOSE: Some patients with neovascular age-related macular degeneration (nAMD) have persistent signs of exudation under treatment with intravitreal injections of anti-vascular endothelial growth factor (VEGF) agents. We examined the real-world anato...
Fluorescein Angiography Wet Macular Degeneration Antibodies, Bispecific Subretinal Fluid Angiogenesis Inhibitors Vascular Endothelial Growth Factor A Humans Follow-Up Studies Drug Substitution Artificial Intelligence Visual Acuity Retrospective Studies France Tomography, Optical Coherence Female Exudates and Transudates Aged Intravitreal Injections Aged, 80 and over Male
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Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach.

Journal of medical Internet research Jun 23, 2025
BACKGROUND: As the global population ages, the economic burden of dementia continues to rise. Social isolation-which includes limited social interaction and feelings of loneliness-negatively affects cognitive function and is a significant risk factor...
Actigraphy Loneliness Ecological Momentary Assessment Male Cognitive Dysfunction Dementia Social Isolation Humans Machine Learning Female Aged Aged, 80 and over
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Development of a Machine Learning-Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive care unit (ICU) and can adversely impact prognosis and augment the risk of complications.
Delirium Humans Aged Machine Learning Aged, 80 and over Retrospective Studies Male Intensive Care Units Postoperative Complications Female ROC Curve
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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screening. Paper-based cognitive screening examinations are well-validated but minimally scalable. If a digital cognitive screening examination could replicat...
Cognitive Dysfunction Internet Neuropsychological Tests Neurocognitive Disorders Aged Humans Aged, 80 and over Neural Networks, Computer Adult Female Male Middle Aged
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A Robust Residual Three-dimensional Convolutional Neural Networks Model for Prediction of Amyloid-β Positivity by Using FDG-PET.

Clinical nuclear medicine Jun 17, 2025
BACKGROUND: Widely used in oncology PET, 2-deoxy-2- 18 F-FDG PET is more accessible and affordable than amyloid PET, which is a crucial tool to determine amyloid positivity in diagnosis of Alzheimer disease (AD). This study aimed to leverage deep lea...
Aged, 80 and over Male Imaging, Three-Dimensional Humans Middle Aged Amyloid beta-Peptides Neural Networks, Computer Convolutional Neural Networks Alzheimer Disease Female Positron-Emission Tomography Aged Fluorodeoxyglucose F18
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Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

BMJ open Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Risk Assessment Taiwan Pneumonia Emergency Service, Hospital Patient Readmission Humans Risk Factors Machine Learning Aged Retrospective Studies Aged, 80 and over Female Male Middle Aged
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Prediction of future aging-related slow gait and its determinants with deep learning and logistic regression.

PloS one Jun 17, 2025
BACKGROUND: Identification of accelerated aging and its biomarkers can lead to more timely therapeutic interventions and decision-making. Therefore, we sought to predict aging-related slow gait, a known predictor of accelerated aging, and its determi...
Logistic Models Male Aging Longitudinal Studies Humans Middle Aged Hand Strength Female Deep Learning Gait Aged Aged, 80 and over
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Rate of brain aging associates with future executive function in Asian children and older adults.

eLife Jun 16, 2025
Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link to health outcomes like cognition. However, there remains a lack of studies investigating the rate of brain aging and its relationship to cognition. Furthermore...
Humans Brain Female Aged Aged, 80 and over Singapore Asian People Executive Function Deep Learning Cross-Sectional Studies Child, Preschool Male Child Aging Cognition Middle Aged Magnetic Resonance Imaging
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Identification of neurological text markers associated with risk of stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 11, 2025
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural language processing of notes from non-neurological emergency department (ED) encounters to identify text phrases indicating stroke presentations that...
Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Humans Prognosis Retrospective Studies Electronic Health Records Natural Language Processing Male Emergency Service, Hospital Middle Aged Stroke Risk Assessment Data Mining Time Factors Academic Medical Centers Predictive Value of Tests
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