AIMC Journal:
Scientific reports

Showing 171 to 180 of 5092 articles

Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics.

Scientific reports May 17, 2025
Differential equations-based epidemiological compartmental systems and deep neural networks-based artificial intelligence can effectively analyze and combat monkeypox (MPV) transmission with Poisson random measure noise into a stochastic SEIQR (susce...
Poisson Distribution Humans Neural Networks, Computer Animals Deep Learning Algorithms
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An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans.

Scientific reports May 17, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely affects memory, behavior, and cognitive function. Early and accurate diagnosis is crucial for effective intervention, yet detecting subtle changes in the early stages ...
Female Aged Humans ROC Curve Magnetic Resonance Imaging Alzheimer Disease Male Deep Learning Early Diagnosis
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A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma.

Scientific reports May 17, 2025
Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiotherapy (RT) in glioblastoma patients is crucial for optimal treatment planning. However, this task remains challenging due to the overlapping imaging chara...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Disease Progression Female Brain Neoplasms Humans Glioblastoma Radiotherapy Planning, Computer-Assisted
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Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques.

Scientific reports May 17, 2025
By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive diagnosis and CT (Computed Tomography) hemorrhage segmentation (CT) could be beneficial. Owing to the significance of medical image segmentation and t...
Humans Intracranial Hemorrhages Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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How AI sources can increase openness to opposing views.

Scientific reports May 17, 2025
Exposure to counterattitudinal information has been shown to yield mixed effects on attitude polarization. The current research explores the differential impact of such information when generated by artificial intelligence (AI) versus human sources. ...
Decision Making Attitude Male Persuasive Communication Female Adult Humans Artificial Intelligence
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PoseAlign network for hybrid structure in 2D human pose estimation.

Scientific reports May 17, 2025
In recent years, many Vision Transformers (ViTs)-based methods have become popular in the field of Human Pose Estimation (HPE) and have achieved excellent results. However, Convolutional Neural Networks (CNNs)-based architectures still have many adva...
Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Enhanced effective convolutional attention network with squeeze-and-excitation inception module for multi-label clinical document classification.

Scientific reports May 16, 2025
Clinical Document Classification (CDC) is crucial in healthcare for organizing and categorizing large volumes of medical information, leading to improved patient care, streamlined research, and enhanced administrative efficiency. With the advancement...
Electronic Health Records Deep Learning Neural Networks, Computer Artificial Intelligence Humans
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MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning.

Scientific reports May 16, 2025
This paper facilitates proactive health management, advanced patient care, and early identification of possible health hazards by using MyWear. It is a wearable T-shirt that continuously monitors and predicts physiological parameters such as stress a...
Humans Machine Learning Support Vector Machine Monitoring, Physiologic Bayes Theorem Male Wearable Electronic Devices Heart Rate
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A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm.

Scientific reports May 16, 2025
Sentiment analysis of content is highly essential for myriad natural language processing tasks. Particularly, as the movies are often created on the basis of public opinions, reviews of people have gained much attention, and analyzing sentiments has ...
Algorithms Natural Language Processing Humans
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Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain.

Scientific reports May 16, 2025
Pain is common in middle-aged and older adults, has also been identified as a fall risk factor, whereas the mechanism of falls in pain is unclear. This study included 13,074 middle-aged and older adults from the China health and retirement longitudin...
Middle Aged Risk Assessment Aged, 80 and over Male Female Logistic Models Longitudinal Studies Pain Risk Factors Aged Humans Machine Learning China Accidental Falls
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