AIMC Topic: Aged, 80 and over
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Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease.
Nature communications
Dec 2, 2024
Portable, low-field magnetic resonance imaging (LF-MRI) of the brain may facilitate point-of-care assessment of patients with Alzheimer's disease (AD) in settings where conventional MRI cannot. However, image quality is limited by a lower signal-to-n...
Development and Validation of Machine Learning Model Platelet Index-based Predictor for Colorectal Cancer Stage.
Asian Pacific journal of cancer prevention : APJCP
Dec 1, 2024
INTRODUCTION: Colorectal cancer (CRC) staging is essential for effective treatment planning and prognosis. While platelet indices have shown promise in indicating CRC aggressiveness, a platelet index-based predictor for CRC staging has not been estab...
A Machine Learning-Based Prediction Model for the Probability of Fall Risk Among Chinese Community-Dwelling Older Adults.
Computers, informatics, nursing : CIN
Dec 1, 2024
Fall is a common adverse event among older adults. This study aimed to identify essential fall factors and develop a machine learning-based prediction model to predict the fall risk category among community-dwelling older adults, leading to earlier i...
Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.
Circulation journal : official journal of the Japanese Circulation Society
Nov 30, 2024
BACKGROUND: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current referen...
External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan.
Japanese journal of radiology
Nov 30, 2024
PURPOSE: Artificial intelligence (AI) algorithms for lung nodule detection have been developed to assist radiologists. However, external validation of its performance on low-dose CT (LDCT) images is insufficient. We examined the performance of the co...
Humans
Retrospective Studies
Tomography, X-Ray Computed
Female
Solitary Pulmonary Nodule
Early Detection of Cancer
Middle Aged
Aged
Radiographic Image Interpretation, Computer-Assisted
Lung
Aged, 80 and over
Japan
Deep Learning
Sensitivity and Specificity
Radiation Dosage
Lung Neoplasms
Male
Multiple Pulmonary Nodules
An ECG-based machine-learning approach for mortality risk assessment in a large European population.
Journal of electrocardiology
Nov 29, 2024
AIMS: Through a simple machine learning approach, we aimed to assess the risk of all-cause mortality after 5 years in a European population, based on electrocardiogram (ECG) parameters, age, and sex.
Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults.
Sensors (Basel, Switzerland)
Nov 29, 2024
UNLABELLED: Community mobility, encompassing both active (e.g., walking) and passive (e.g., driving) transport, plays a crucial role in maintaining autonomy and social interaction among older adults. This study aimed to quantify community mobility in...
Developing a prediction model for cognitive impairment in older adults following critical illness.
BMC geriatrics
Nov 29, 2024
BACKGROUND: New or worsening cognitive impairment or dementia is common in older adults following an episode of critical illness, and screening post-discharge is recommended for those at increased risk. There is a need for prediction models of post-I...
3D full-dose brain-PET volume recovery from low-dose data through deep learning: quantitative assessment and clinical evaluation.
European radiology
Nov 28, 2024
OBJECTIVES: Low-dose (LD) PET imaging would lead to reduced image quality and diagnostic efficacy. We propose a deep learning (DL) method to reduce radiotracer dosage for PET studies while maintaining diagnostic quality.
Developing predictive models for residual back pain after percutaneous vertebral augmentation treatment for osteoporotic thoracolumbar compression fractures based on machine learning technique.
Journal of orthopaedic surgery and research
Nov 28, 2024
BACKGROUND: Machine learning (ML) has been widely applied to predict the outcomes of numerous diseases. The current study aimed to develop a prognostic prediction model using machine learning algorithms and identify risk factors associated with resid...
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