AIMC Topic: Aged, 80 and over

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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...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Ischemic Stroke Retrospective Studies Stroke Female Aged Diffusion Magnetic Resonance Imaging Aged, 80 and over Male Middle Aged
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A multi-site randomized clinical trial of socially assistive robots on engaging older adults with cognitive impairment residing in long-term care settings: A protocol paper.

Contemporary clinical trials Jun 6, 2025
Apathy is common in persons with dementias, especially those in long-term care facilities (LTCs). Few pharmacologic options exist; a major strategy is to foster engagement in social, physical, and cognitive activities, but requires extensive personne...
Humans Female Randomized Controlled Trials as Topic Robotics Nursing Homes Executive Function Long-Term Care Apathy Aged Cognitive Dysfunction Aged, 80 and over Virtual Reality Male Dementia Middle Aged Multicenter Studies as Topic
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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 Aged Humans Delirium Aged, 80 and over Male Machine Learning Postoperative Complications Female
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Machine learning-based histopathological features of histological slides and clinical characteristics as a novel prognostic indicator in diffuse large B-cell lymphoma.

Pathology, research and practice Jun 4, 2025
OBJECTIVE: This study developed and validated a deep learning model based on clinical and histopathological features for predicting the outcomes of diffuse large B-cell lymphoma (DLBCL).
Female Aged Aged, 80 and over Young Adult Humans Machine Learning Prognosis Deep Learning Nomograms Adult Lymphoma, Large B-Cell, Diffuse Male Middle Aged
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Predicting mortality risk following major lower extremity amputation using machine learning.

Journal of vascular surgery Jun 4, 2025
OBJECTIVE: Major lower extremity amputation for advanced vascular disease involves significant perioperative risks. Although outcome prediction tools could aid in clinical decision-making, they remain limited. To address this, we developed machine le...
Risk Factors Aged Aged, 80 and over Humans Male Machine Learning Treatment Outcome Decision Support Techniques Middle Aged Lower Extremity Databases, Factual Risk Assessment Predictive Value of Tests Retrospective Studies Postoperative Complications Amputation, Surgical Female Time Factors
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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 ...
Middle Aged Hospital Mortality Humans Aged Ontario COVID-19 Artificial Intelligence Aged, 80 and over Electronic Health Records Adult Female Male SARS-CoV-2
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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.
Humans China Aged, 80 and over Cognitive Dysfunction Neural Networks, Computer Male Female Persons with Disabilities Middle Aged Risk Factors Longitudinal Studies Risk Assessment Aged
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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...
Female Aged Aged, 80 and over Male Middle Aged Deep Learning Cognitive Dysfunction Voice Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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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...
Neuropsychological Tests Aged Aged, 80 and over Male Middle Aged China Cognitive Dysfunction Dementia ROC Curve Humans Female Reproducibility of Results
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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...
Alzheimer Disease Aged, 80 and over Male Magnetic Resonance Imaging Autopsy Humans Brain Female Aged
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