AIMC Journal:
Scientific reports

Showing 411 to 420 of 5092 articles

Revolutionizing Alzheimer's disease detection with a cutting-edge CAPCBAM deep learning framework.

Scientific reports Apr 22, 2025
Early and accurate diagnosis of Alzheimer's disease (AD) is crucial for effective treatment. While the integration of deep learning techniques for AD classification is not entirely new, this study introduces CAPCBAM-a framework that extends prior app...
Neural Networks, Computer Alzheimer Disease Deep Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging
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The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system.

Scientific reports Apr 22, 2025
Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established as valuable tools for detecting neurocognitive disorders such as mild cognitive impairment and early-stage Alzheimer's disease. We previously develop...
Cross-Sectional Studies Humans Aged Male Aged, 80 and over Artificial Intelligence Neurocognitive Disorders Cognitive Dysfunction Case-Control Studies Clinical Relevance ROC Curve Lewy Body Disease Cognition Retrospective Studies Neuropsychological Tests Alzheimer Disease Female
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Diabetic retinopathy detection based on mobile maxout network and weber local descriptor feature selection using retinal fundus image.

Scientific reports Apr 22, 2025
Retinal screening provides for earlier detection of diabetic retinopathy (DR) as well as prompt diagnosis. Recognizing DR utilizing color fundus imaging needs qualified specialists to know about the presence and significance of a few insignificant fe...
Datasets as Topic Diabetic Retinopathy Sensitivity and Specificity Convolutional Neural Networks Humans Retina
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Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets.

Scientific reports Apr 22, 2025
Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagn...
Machine Learning Heart Diseases Ensemble Learning Humans
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A thematic analysis of what Australians state would change their minds on climate change.

Scientific reports Apr 22, 2025
What do Australians believe would change their current opinions about climate change? In this study, we used audience segmentation analysis through the Six Americas Short Survey to identify groups of climate opinion holders within a representative sa...
Australasian People Middle Aged Surveys and Questionnaires Climate Change Adult Australia Public Opinion Humans Male Female
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Machine learning modeling and multi objective optimization of artificial detrusor.

Scientific reports Apr 22, 2025
To address the problem of obtaining optimal design parameters for existing artificial detrusors using single-objective optimization methods, this research proposed a machine learning-based artificial detrusor modeling and multi-objective optimization...
Urinary Bladder Algorithms Animals Humans Machine Learning
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Frailty identification using a sensor-based upper-extremity function test: a deep learning approach.

Scientific reports Apr 22, 2025
The global increase in the older adult population highlights the need for effective frailty assessment, a condition linked to adverse health outcomes such as hospitalization and mortality. Existing frailty assessment tools, like the Fried phenotype a...
Humans Aged, 80 and over Male Deep Learning Female Aged Upper Extremity Frail Elderly Geriatric Assessment Support Vector Machine Frailty
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A novel deep learning approach to classify 3D foot types of diabetic patients.

Scientific reports Apr 22, 2025
Diabetes mellitus is a worldwide epidemic that leads to significant changes in foot shape, deformities, and ulcers. Precise classification of diabetic foot not only helps identify foot abnormalities but also facilitates personalized treatment and pre...
Imaging, Three-Dimensional Diabetic Foot Foot Humans Deep Learning
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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation.

Scientific reports Apr 21, 2025
This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include molecular, physical, compositional, and formulation at...
Chemistry, Pharmaceutical Artificial Intelligence Machine Learning Bayes Theorem Tablets
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A combined approach of evolutionary game and system dynamics for user privacy protection in human intelligence interaction.

Scientific reports Apr 21, 2025
The rapid development of generative artificial intelligence (GenAI) has generated significant economic and social value, alongside risks to user privacy. For this purpose, this study investigates privacy protection in human-AI interaction by employin...
Artificial Intelligence Privacy Game Theory Humans
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