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Research on key factors influencing Chinese designers' use of AIGC: An extension based on TAM and TRI.
PloS one
Feb 19, 2025
With the rapid development of AI intelligent technology, AIGC can bring an innovative revolution to art creation, providing designers with unlimited possibilities but also challenges. These challenges affect the willingness to adopt and constrain the...
Comparing AI and human-generated health messages in an Arabic cultural context.
Global health action
Feb 18, 2025
BACKGROUND: AI is rapidly transforming the design of communication messages across various sectors, including health and safety. However, little is known about its effectiveness for roughly 420 million native Arabic speakers worldwide.
Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.
European journal of psychotraumatology
Feb 18, 2025
Approximately 70% of individuals globally experience at least one traumatic event in their lifetimes, potentially leading to posttraumatic stress disorder (PTSD). Understanding the development of PTSD and devising effective prevention and treatment ...
Predicting Treatment Response of Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder Using an Explainable Machine Learning Model Based on Electroencephalography and Clinical Features.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Feb 18, 2025
Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magnetic stimulation (rTMS), and identifying predictive biomarkers is essential for personalized treatment. However, most prior research studies have used ...
Machine learning classification of active viewing of pain and non-pain images using EEG does not exceed chance in external validation samples.
Cognitive, affective & behavioral neuroscience
Feb 18, 2025
Previous research has demonstrated that machine learning (ML) could not effectively decode passive observation of neutral versus pain photographs by using electroencephalogram (EEG) data. Consequently, the present study explored whether active viewin...
Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery.
Journal of neuroscience methods
Feb 18, 2025
BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) was applied and it has gained attention. This NIBS approach enhances the neuroplasticity and facilitates in functional Stroke Rehabilitation (SR) thro...
Enhancing automated right-sided early-stage breast cancer treatments via deep learning model adaptation without additional training.
Medical physics
Feb 18, 2025
BACKGROUND: Input data curation and model training are essential, but time-consuming steps in building a deep-learning (DL) auto-planning model, ensuring high-quality data and optimized performance. Ideally, one would prefer a DL model that exhibits ...
Interpretation of basal nuclei in brain dopamine transporter scans using a deep convolutional neural network.
Nuclear medicine communications
Feb 18, 2025
OBJECTIVE: Functional imaging using the dopamine transporter (DAT) as a biomarker has proven effective in assessing dopaminergic neuron degeneration in the striatum. In assessing the neuron degeneration, visual and semiquantitative methods are used t...
Humans
Neural Networks, Computer
Brain
Male
Middle Aged
Deep Learning
Convolutional Neural Networks
Retrospective Studies
Female
Aged
Tomography, Emission-Computed, Single-Photon
Dopamine Plasma Membrane Transport Proteins
Image Processing, Computer-Assisted
Parkinson Disease
Image Interpretation, Computer-Assisted
A simple clustering approach to map the human brain's cortical semantic network organization during task.
NeuroImage
Feb 18, 2025
Constructing task-state large-scale brain networks can enhance our understanding of the organization of brain functions during cognitive tasks. The primary goal of brain network partitioning is to cluster functionally homogeneous brain regions. Howev...
Comparative analysis for accurate multi-classification of brain tumor based on significant deep learning models.
Computers in biology and medicine
Feb 18, 2025
Brain tumours are a significant health concern, often resulting in severe cognitive and physiological impairments. Accurate detection and classification of brain tumours, including glioma, meningioma, and pituitary tumours, are crucial for effective ...
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