AIMC Topic: Aged
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Screening for frequent hospitalization risk among community-dwelling older adult between 2016 and 2023: machine learning-driven item selection, scoring system development, and prospective validation.
Frontiers in public health
Nov 27, 2024
BACKGROUND: Screening for frequent hospitalizations in the community can help prevent super-utilizers from growing in the inpatient population. However, the determinants of frequent hospitalizations have not been systematically examined, their operat...
Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study.
Global heart
Nov 27, 2024
BACKGROUND: Mortality due to ischemic heart disease (IHD) is heterogeneously distributed globally, and identifying the sites most affected by it is essential in developing strategies to mitigate the impact of the disease, despite the complexity resul...
AI-Assisted Post Contrast Brain MRI: Eighty Percent Reduction in Contrast Dose.
Academic radiology
Nov 26, 2024
OBJECTIVES: In the context of growing safety concerns regarding the use of gadolinium-based contrast agents in contrast-enhanced MRI, there is a need for dose reduction without compromising diagnostic accuracy. A deep learning (DL) method is proposed...
Evaluating the reproducibility of a deep learning algorithm for the prediction of retinal age.
GeroScience
Nov 26, 2024
Recently, a deep learning algorithm (DLA) has been developed to predict the chronological age from retinal images. The Retinal Age Gap (RAG), a deviation between predicted age from retinal images (Retinal Age, RA) and chronological age, correlates wi...
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.
Neural networks : the official journal of the International Neural Network Society
Nov 26, 2024
The application of deep learning techniques to analyze brain functional magnetic resonance imaging (fMRI) data has led to significant advancements in identifying prospective biomarkers associated with various clinical phenotypes and neurological cond...
A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.
The Thoracic and cardiovascular surgeon
Nov 26, 2024
BACKGROUND: Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate differentiation between benign and malignant pulmonary nodules to guide treatment decisions. This study aims to develop a predictive model that integrat...
Aged
Biomarkers, Tumor
Male
Middle Aged
Tomography, X-Ray Computed
Female
Reproducibility of Results
Risk Factors
Predictive Value of Tests
Lung Neoplasms
Multiple Pulmonary Nodules
Solitary Pulmonary Nodule
Neoplasm Invasiveness
Artificial Intelligence
Decision Support Techniques
Retrospective Studies
Humans
A Study on Automatic O-RADS Classification of Sonograms of Ovarian Adnexal Lesions Based on Deep Convolutional Neural Networks.
Ultrasound in medicine & biology
Nov 26, 2024
OBJECTIVE: This study explored a new method for automatic O-RADS classification of sonograms based on a deep convolutional neural network (DCNN).
American College of Surgeons survival calculator for biliary tract cancers: using machine learning to individualize predictions.
Surgery
Nov 26, 2024
BACKGROUND: Although cancer prognosis is most commonly estimated by tumor stage, survival is multifactorial. Our objective was to develop an American College of Surgeons "Biliary Tract Cancer Survival Calculator" prototype using machine learning to g...
A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study.
La Radiologia medica
Nov 26, 2024
PURPOSE: To develop and validate deep learning (DL) models using preoperative contrast-enhanced CT images for tumor auto-segmentation and microsatellite instability (MSI) prediction in colorectal cancer (CRC).
Machine learning insights on activities of daily living disorders in Chinese older adults.
Experimental gerontology
Nov 26, 2024
OBJECTIVE: This study on the aged population in China first used a large-scale longitudinal survey database to explore how different life factors affect their ability to engage in daily activities. We select and integrate multiple machine models to o...
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