AIMC Topic: Aged, 80 and over

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Robotic Assisted Transcranial Doppler Monitoring in Acute Neurovascular Care: A Feasibility and Safety Study.

Neurocritical care Sep 19, 2024
BACKGROUND: Transcranial color Doppler (TCD) is currently the only noninvasive bedside tool capable of providing real-time information on cerebral hemodynamics. However, being operator dependent, TCD monitoring is not feasible in many institutions. R...
Middle Cerebral Artery Neurophysiological Monitoring Ultrasonography, Doppler, Transcranial Robotics Feasibility Studies Critical Care Cerebrovascular Circulation Aged Humans Aged, 80 and over Prospective Studies Female Adult Male Middle Aged
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Interpretable prediction of acute ischemic stroke after hip fracture in patients 65 years and older based on machine learning and SHAP.

Archives of gerontology and geriatrics Sep 19, 2024
BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older population. The prognosis for older patients who experience AIS subsequent to hip fracture is frequently unfavorable.
Risk Factors Nomograms Aged Support Vector Machine Aged, 80 and over Ischemic Stroke Humans Propensity Score Hip Fractures Male Machine Learning Prognosis Female
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Comparison between artificial intelligence solution and radiologist for the detection of pelvic, hip and extremity fractures on radiographs in adult using CT as standard of reference.

Diagnostic and interventional imaging Sep 19, 2024
PURPOSE: The purpose of this study was to compare the diagnostic performance of an artificial intelligence (AI) solution for the detection of fractures of pelvic, proximal femur or extremity fractures in adults with radiologist interpretation of radi...
Artificial Intelligence Adult Reference Standards Humans Retrospective Studies Male Pelvic Bones Aged Tomography, X-Ray Computed Middle Aged Aged, 80 and over Fractures, Bone Female Radiologists Hip Fractures
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Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study.

Diagnostic and interventional imaging Sep 19, 2024
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI) solutions for the detection of arterial stenosis (AS) on head and neck CT angiography (CTA).
Head Angiography, Digital Subtraction Computed Tomography Angiography Aged Aged, 80 and over Adult Sensitivity and Specificity Neck Constriction, Pathologic Cross-Over Studies Male Middle Aged Humans Artificial Intelligence Retrospective Studies Female
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Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

Annals of medicine Sep 19, 2024
INTRODUCTION: Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters ...
Humans Aged Aged, 80 and over Adult Male Middle Aged Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Lung Neoplasms Carcinoma, Non-Small-Cell Lung Solitary Pulmonary Nodule Neoplasm Invasiveness
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Investigating Older Adults' Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study.

JMIR formative research Sep 19, 2024
BACKGROUND: The aging population and the shortage of geriatric care workers are major global concerns. Socially assistive robots (SARs) have the potential to address these issues, but developing SARs for various types of users is still in its infancy...
Cluster Analysis Robotics Self-Help Devices Female Aged Aged, 80 and over Male Humans
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DentAge: Deep learning for automated age prediction using panoramic dental X-ray images.

Journal of forensic sciences Sep 18, 2024
Age estimation plays a crucial role in various fields, including forensic science and anthropology. This study aims to develop and validate DentAge, a deep-learning model for automated age prediction using panoramic dental X-ray images. DentAge was t...
Forensic Dentistry Datasets as Topic Age Determination by Teeth Young Adult Humans Adult Female Male Child, Preschool Aged Deep Learning Middle Aged Child Aged, 80 and over Adolescent Radiography, Panoramic
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Evaluation and analysis of risk factors for adverse events of the fractured vertebra post-percutaneous kyphoplasty: a retrospective cohort study using multiple machine learning models.

Journal of orthopaedic surgery and research Sep 18, 2024
BACKGROUND: Adverse events of the fractured vertebra (AEFV) post-percutaneous kyphoplasty (PKP) can lead to recurrent pain and neurological damage, which considerably affect the prognosis of patients and the quality of life. This study aimed to analy...
Machine Learning Retrospective Studies Female Risk Factors Aged Humans Cohort Studies Spinal Fractures Fractures, Compression Kyphoplasty Osteoporotic Fractures Aged, 80 and over Male Middle Aged Postoperative Complications
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The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

Journal of the American College of Radiology : JACR Sep 17, 2024
PURPOSE: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sydney, NSW, Australia) artificial intelligence model to identify vertebral compression fractures on chest radiographs and its potential to address undi...
Aged, 80 and over Sensitivity and Specificity Male Middle Aged Spinal Fractures Fractures, Compression Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Artificial Intelligence Retrospective Studies Female Aged Humans
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Automated classification of Alzheimer's disease, mild cognitive impairment, and cognitively normal patients using 3D convolutional neural network and radiomic features from T1-weighted brain MRI: A comparative study on detection accuracy.

Clinical imaging Sep 16, 2024
OBJECTIVES: Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects older individuals. Due to its high incidence, an accurate and efficient stratification system could greatly aid in the clinical diagnosis and prognosis...
Radiomics Male Cognitive Dysfunction Magnetic Resonance Imaging Female Reproducibility of Results Aged Aged, 80 and over Alzheimer Disease Neural Networks, Computer Algorithms Humans Brain
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