AIMC Topic: Humans

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Specific media literacy tips improve AI-generated visual misinformation discernment.

Cognitive research: principles and implications Jul 3, 2025
Images generated using artificial intelligence (AI) have become increasingly realistic, sparking discussions and fears about an impending "infodemic" where we can no longer trust what we see on the internet. In this preregistered study, we examine wh...
Humans Young Adult Adult Communication Artificial Intelligence Female Male Literacy
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Intrinsic dynamic shapes responses to external stimulation in the human brain.

eLife Jul 3, 2025
Sensory stimulation of the brain reverberates in its recurrent neural networks. However, current computational models of brain activity do not separate immediate sensory responses from this intrinsic dynamic. We apply a vector-autoregressive model wi...
Adult Nerve Net Male Photic Stimulation Models, Neurological Acoustic Stimulation Eye Movements Humans Brain Female
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Exploring Inflammatory Bowel Disease Discourse on Reddit Throughout the COVID-19 Pandemic Using OpenAI's GPT-3.5 Turbo Model: Classification Model Validation and Case Study.

Journal of medical Internet research Jul 3, 2025
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic autoimmune disorder with an increasing prevalence in the general population. Internet-based communities have become vital for communication among patients with IBD, especially throughout the C...
Humans Pandemics COVID-19 Adult Male Internet Female SARS-CoV-2 Inflammatory Bowel Diseases
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Development and validation of a risk prediction model for depression in patients with chronic obstructive pulmonary disease.

BMC psychiatry Jul 3, 2025
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition often accompanied by depression, which exacerbates disease burden and impairs quality of life. Early identification of depression risk in COPD patients rema...
Support Vector Machine Pulmonary Disease, Chronic Obstructive Depression Humans Male Nutrition Surveys Female Risk Factors Machine Learning Middle Aged Aged Risk Assessment Comorbidity
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Deep learning-based approach to third molar impaction analysis with clinical classifications.

Scientific reports Jul 3, 2025
This study developed a deep learning model for the automated detection and classification of impacted third molars using the Pell and Gregory Classification, Winter's Classification, and Pederson Difficulty Index. Panoramic radiographs of patients tr...
Tooth, Impacted Humans Retrospective Studies Deep Learning Female Molar, Third Male Radiography, Panoramic
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Influence of cognitive networks and task performance on fMRI-based state classification using DNN models.

Scientific reports Jul 3, 2025
Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, however, their application in cognitive neuroscience remains limited, largely due to the lack of approaches with interpretability. Here, we employ two d...
Young Adult Adult Cognition Magnetic Resonance Imaging Male Neural Networks, Computer Brain Humans Female Memory, Short-Term Task Performance and Analysis
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Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization.

PloS one Jul 3, 2025
Quantum annealing has garnered significant attention as meta-heuristics inspired by quantum physics for combinatorial optimization problems. Among its many applications, nonnegative/binary matrix factorization stands out for its complexity and releva...
Quantum Theory Face Machine Learning Algorithms Humans
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Empirical study of daily link traffic volume forecasting based on a deep neural network.

PloS one Jul 3, 2025
Forecasting the daily link traffic volume is critical in transportation demand analysis in feasibility studies for planning transportation facilities. The high purchase and maintenance cost of commercial transport planning software poses a challenge ...
Forecasting Transportation Humans Neural Networks, Computer Software
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Predicting semantic segmentation quality in laryngeal endoscopy images.

PloS one Jul 3, 2025
Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial intelligence methods are used to fully automatically label medical important classes on a pixel-by-pixel level. This so-called semantic segmentation is fo...
Laryngoscopy Larynx Image Processing, Computer-Assisted Semantics Artificial Intelligence Algorithms Humans
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Exploring Protein-Protein Docking Tools: Comprehensive Insights into Traditional and Deep-Learning Approaches.

Journal of chemical information and modeling Jul 2, 2025
Protein-protein interactions are crucial for numerous biological activities such as signaling, enzyme catalysis, gene expression regulation, cell adhesion, immune response, and drug action. Structural characterization of these interactions can elucid...
Proteins Protein Interaction Mapping Protein Binding Molecular Docking Simulation Deep Learning Humans
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