AIMC Topic: Aged, 80 and over

Clear Filters Showing 21 to 30 of 3324 articles

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 Aged Aged, 80 and over Male Middle Aged Retrospective Studies Female Risk Factors Humans Machine Learning
View on PubMed DOI

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...
Deep Learning Logistic Models Longitudinal Studies Hand Strength Aged, 80 and over Male Aging Middle Aged Gait Humans Female Aged
View on PubMed DOI

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 Deep Learning Magnetic Resonance Imaging Cross-Sectional Studies Female Singapore Child, Preschool Male Aged Child Aging Aged, 80 and over Cognition Middle Aged Asian People Executive Function
View on PubMed DOI

Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks.

PloS one Jun 9, 2025
Stroke is the second leading cause of death, accounting for 11% of deaths worldwide. Comparing diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images is important for stroke diagnosis, but most studies have focused on lesion...
Male Middle Aged Image Processing, Computer-Assisted Ischemic Stroke Stroke Diffusion Magnetic Resonance Imaging Retrospective Studies Female Aged Aged, 80 and over Humans Neural Networks, Computer
View on PubMed DOI

AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.

PloS one Jun 5, 2025
INTRODUCTION: In older patients, postoperative delirium (POD) is a major complication that can result in greater morbidity, longer hospital stays, and higher healthcare expenses. Accurate prediction models for POD can enhance patient outcomes by guid...
ROC Curve Delirium Aged Aged, 80 and over Humans Male Machine Learning Postoperative Complications Female
View on PubMed DOI

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models.

JAMA network open Jun 2, 2025
IMPORTANCE: Clinical artificial intelligence (AI) systems are susceptible to performance degradation due to data shifts, which can lead to erroneous predictions and potential patient harm. Proactively detecting and mitigating these shifts is crucial ...
Male Humans Middle Aged Artificial Intelligence Hospital Mortality Aged COVID-19 Ontario Aged, 80 and over Electronic Health Records Adult Female SARS-CoV-2
View on PubMed DOI

Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability.

BMC public health Jun 2, 2025
BACKGROUND: Mild Cognitive Impairment (MCI) is a critical transitional stage between normal aging and Alzheimer's disease, and its early identification is essential for delaying disease progression.
Persons with Disabilities Longitudinal Studies Risk Assessment China Cognitive Dysfunction Aged Aged, 80 and over Male Middle Aged Humans Neural Networks, Computer Female Risk Factors
View on PubMed DOI

Utility of artificial intelligence-based conversation voice analysis for detecting cognitive decline.

PloS one Jun 2, 2025
Recent developments in artificial intelligence (AI) have introduced new technologies that can aid in detecting cognitive decline. This study developed a voice-based AI model that screens for cognitive decline using only a short conversational voice s...
Artificial Intelligence Machine Learning Female Aged Aged, 80 and over Male Middle Aged Deep Learning Humans Neural Networks, Computer Cognitive Dysfunction Voice
View on PubMed DOI

A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.

BMC neurology May 29, 2025
INTRODUCTION: Technological advances and artificial intelligence now make it feasible to administer cognitive assessments on touch-screen devices. The aim of this study is to develop a Uyghur version of the NUCOG cognitive screening application and e...
Male Middle Aged China Female Dementia Humans Cognitive Dysfunction ROC Curve Reproducibility of Results Neuropsychological Tests Aged Aged, 80 and over
View on PubMed DOI

Operationalizing postmortem pathology-MRI association studies in Alzheimer's disease and related disorders with MRI-guided histology sampling.

Acta neuropathologica communications May 28, 2025
Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative diseases, often relies on limited regional sampling that may miss critical areas affected by Alzheimer's disease and related disorders. Ultra-high reso...
Aged Aged, 80 and over Male Magnetic Resonance Imaging Humans Brain Female Autopsy Alzheimer Disease
View on PubMed DOI
Popular Topics
Recent Journals