AIMC Topic: Aged, 80 and over

Clear Filters Showing 301 to 310 of 3658 articles

Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis.

BMJ open Apr 27, 2025
OBJECTIVE: In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates and limited prediction tools. Despite advances in resuscitation, predicting 30-day survival remains difficult, and current methods lack interpretabilit...
Male Middle Aged Cohort Studies ROC Curve Humans Sweden Registries Machine Learning Aged Cardiopulmonary Resuscitation Female Aged, 80 and over Heart Arrest Survival Rate
View on PubMed DOI

Using longitudinal data and deep learning models to enhance resource allocation in home-based medical care.

International journal of medical informatics Apr 26, 2025
BACKGROUND: The aging population is driving increased healthcare demands and costs, prompting the need for effective home healthcare programs. Accurate patient assessment is essential for optimizing resource allocation and tailoring services.
Taiwan Home Care Services Resource Allocation Aged, 80 and over Male Deep Learning Longitudinal Studies Retrospective Studies Female Aged Humans
View on PubMed DOI

Improvement of image quality of diffusion-weighted imaging (DWI) with deep learning reconstruction of the pancreas: comparison with respiratory-gated conventional DWI.

Japanese journal of radiology Apr 26, 2025
PURPOSE: This study aimed to evaluate the efficacy of deep learning-based reconstruction (DLR) in improving pancreatic diffusion-weighted imaging (DWI) quality.
Humans Male Middle Aged Deep Learning Image Processing, Computer-Assisted Pancreatic Diseases Retrospective Studies Female Aged Aged, 80 and over Image Interpretation, Computer-Assisted Pancreas Respiratory-Gated Imaging Techniques Diffusion Magnetic Resonance Imaging
View on PubMed DOI

Lung lesion detectability on images obtained from decimated and CNN-based denoised [F]-FDG PET/CT scan: an observer-based study for lung-cancer screening.

European journal of nuclear medicine and molecular imaging Apr 25, 2025
PURPOSE: To assess feasibility of lung cancer screening, we analysed lung lesion detectability simulating low-dose and convolutional neural network (CNN) denoised [F]-FDG PET/CT reconstructions.
Retrospective Studies Female Aged Aged, 80 and over Humans Early Detection of Cancer Neural Networks, Computer Observer Variation Male Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Middle Aged Signal-To-Noise Ratio Image Processing, Computer-Assisted Lung Neoplasms
View on PubMed DOI

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

Scientific reports Apr 25, 2025
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predicting medical outcomes. This study aimed to evaluate the effectiveness of the random forest algorithm ...
Child, Preschool Child Middle Aged Infant Adolescent Lithium Aged, 80 and over Young Adult Adult Male Female Machine Learning Humans Infant, Newborn Algorithms Aged
View on PubMed DOI

A high-throughput framework for predicting three-dimensional structural-mechanical relationships of human cranial bones using a deep learning-based method.

Journal of the mechanical behavior of biomedical materials Apr 24, 2025
Cranial bone injuries significantly impact human health, potentially leading to death or permanent disability, and mechanical responses are crucial predictors of cranial damage. Predicting mechanical responses through medical imaging is an efficient ...
Imaging, Three-Dimensional Skull Mechanical Phenomena Finite Element Analysis X-Ray Microtomography Aged, 80 and over Humans Biomechanical Phenomena Female Male Aged Deep Learning
View on PubMed DOI

Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men.

Frontiers in endocrinology Apr 24, 2025
BACKGROUND: Isolated Impaired Glucose Tolerance (I-IGT) represents a specific prediabetic state that typically requires a standardized oral glucose tolerance test (OGTT) for diagnosis. This study aims to predict glucose tolerance status in Chinese Ha...
East Asian People Male Humans Middle Aged Predictive Value of Tests Glucose Intolerance China Asian People Blood Glucose Glucose Tolerance Test Machine Learning Aged Aged, 80 and over
View on PubMed DOI

Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.

Japanese journal of radiology Apr 23, 2025
PURPOSE: To investigate whether super-resolution deep learning reconstruction (SR-DLR) of MR myelography-aided evaluations of lumbar spinal stenosis.
Myelography Magnetic Resonance Myelography Aged, 80 and over Humans Adult Lumbar Vertebrae Retrospective Studies Male Spinal Stenosis Middle Aged Female Image Interpretation, Computer-Assisted Aged Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.

Journal of health, population, and nutrition Apr 23, 2025
BACKGROUND: Palliative care is a key component of integrated care to improve care quality and reduce hospitalization costs for patients with chronic obstructive pulmonary disease (COPD). This study aims to use machine learning algorithms to create an...
Humans Machine Learning Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Algorithms Female Palliative Care Male Needs Assessment Frailty Frail Elderly Geriatric Assessment
View on PubMed DOI

Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data.

BMC infectious diseases Apr 23, 2025
OBJECTIVE: The aim of this study was to construct interpretable machine learning models to predict the risk of developing delirium in patients with sepsis and to explore the impact of delirium on the 28-day survival rate of patients.
Organ Dysfunction Scores Female Risk Factors Aged Aged, 80 and over Sepsis Male Humans ROC Curve Middle Aged Machine Learning Delirium
View on PubMed DOI
Popular Topics
Recent Journals