AIMC Topic: Aged, 80 and over
Clear Filters Showing 211 to 220 of 3428 articles
A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials.
Neurology
Mar 25, 2025
BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We...
Ensemble network using oblique coronal MRI for Alzheimer's disease diagnosis.
NeuroImage
Mar 25, 2025
Alzheimer's disease (AD) is a primary degenerative brain disorder commonly found in the elderly, Mild cognitive impairment (MCI) can be considered a transitional stage from normal aging to Alzheimer's disease. Therefore, distinguishing between normal...
External validation of artificial intelligence for detection of heart failure with preserved ejection fraction.
Nature communications
Mar 25, 2025
Artificial intelligence (AI) models to identify heart failure (HF) with preserved ejection fraction (HFpEF) based on deep-learning of echocardiograms could help address under-recognition in clinical practice, but they require extensive validation, pa...
Predicting Long-Term Survival after Endovascular Aneurysm Repair Using Machine Learning-Based Decision Tree Analysis.
Vascular and endovascular surgery
Mar 24, 2025
ObjectiveEndovascular aneurysm repair (EVAR) has become a preferred method for treating abdominal aortic aneurysms (AAA) due to its minimally invasive approach. However, identifying factors that influence long-term patient outcomes is crucial for imp...
Humans
Machine Learning
Decision Support Techniques
Risk Assessment
Time Factors
Treatment Outcome
Decision Trees
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Endovascular Aneurysm Repair
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Aged
Retrospective Studies
Aged, 80 and over
Clinical Decision-Making
Male
Female
Middle Aged
Risk Factors
Intelligent detection and grading diagnosis of fresh rib fractures based on deep learning.
BMC medical imaging
Mar 24, 2025
BACKGROUND: Accurate detection and grading of fresh rib fractures are crucial for patient management but remain challenging due to the complexity of rib structures on CT images.
Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.
Therapeutic advances in cardiovascular disease
Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Aortic Valve Stenosis
Aged
Humans
Multidetector Computed Tomography
Aortic Valve
Aged, 80 and over
Retrospective Studies
Male
Female
Predictive Value of Tests
Computed Tomography Angiography
Deep Learning
Reproducibility of Results
Radiographic Image Interpretation, Computer-Assisted
Transcatheter Aortic Valve Replacement
Aortography
New approach to specific Alzheimer's disease diagnosis based on plasma biomarkers in a cognitive disorder cohort.
European journal of clinical investigation
Mar 22, 2025
BACKGROUND: The validation of a combination of plasma biomarkers and demographic variables is required to establish reliable cut-offs for Alzheimer's disease diagnosis (AD).
Evaluating the prognostic significance of artificial intelligence-delineated gross tumor volume and prostate volume measurements for prostate radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Mar 22, 2025
BACKGROUND AND PURPOSE: Artificial intelligence (AI) may extract prognostic information from MRI for localized prostate cancer. We evaluate whether AI-derived prostate and gross tumor volume (GTV) are associated with toxicity and oncologic outcomes a...
Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study.
Scientific reports
Mar 22, 2025
To develop a deep learning (DL) model based on MRI to predict muscle-invasive bladder cancer (MIBC). A total of 559 patients, including 521 patients in our center and 38 patients in external centers were collected from 2012 to 2023 to construct the D...
Risk prediction models for frailty in older adults: A systematic review and critical appraisal.
International journal of nursing studies
Mar 21, 2025
BACKGROUND: Frailty can lead to increased adverse health outcomes in older adults. Risk prediction models for frailty have benefits in guiding the prevention. Studies have increasingly focused on the development of risk prediction models for frailty ...
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