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Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 6, 2025
BACKGROUND: Apart from rare cases such as lymphomas, germ cell tumors, neuroendocrine neoplasms, and thymic hyperplasia, thymic mass lesions (TMLs) are typically categorized into cysts, and thymomas. However, the classification results cannot be dete...
Radiomics Male Middle Aged Adolescent Thymoma Thymus Neoplasms Mediastinal Cyst Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Young Adult Adult
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AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.

BMC psychology Mar 6, 2025
BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security and skill relevance. This has led to the emergence of 'AI anxiety'-a stress response to poten...
Knowledge Artificial Intelligence Male Female Middle Aged Young Adult Humans Adult Anxiety Self Efficacy
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Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

BMC public health Mar 6, 2025
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, parti...
Random Forest Africa South of the Sahara Midwifery Maternal Mortality Humans Young Adult Pregnancy Machine Learning Adult Female Algorithms Adolescent
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On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's temporal resolution and the computational capabilities of embe...
Adult Male Stress, Psychological Wearable Electronic Devices Electroencephalography Humans Neural Networks, Computer Female Young Adult Signal Processing, Computer-Assisted
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Real-Time Epileptic Seizure Prediction Method With Spatio-Temporal Information Transfer Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite numerous studies aimed at improving accuracy, the accurate prediction of epileptic seizures remains a challenge in clinical practice due to the high computational cost, poor real-time performance, and over-reliance on labelled data. To addres...
Male Electroencephalography Epilepsy Seizures Humans Signal Processing, Computer-Assisted Databases, Factual Neural Networks, Computer Female Machine Learning Young Adult Adult
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Unsupervised Neural Decoding to Predict Dexterous Multi-Finger Flexion and Extension Forces.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate control over individual fingers of robotic hands is essential for the progression of human-robot interactions. Accurate prediction of finger forces becomes imperative in this context. The state-of-the-art neural decoders can extract neural s...
Signal Processing, Computer-Assisted Electromyography Fingers Motor Neurons Adult Male Muscle, Skeletal Unsupervised Machine Learning Humans Female Young Adult
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EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

IEEE journal of biomedical and health informatics Mar 6, 2025
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs). Although Transformers are popular for their long-term sequential learn...
Adult Male Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Neural Networks, Computer Brain Young Adult
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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Aged, 80 and over Young Adult Adult Male Middle Aged Risk Assessment Case-Control Studies Adolescent Humans Electronic Health Records Female Aged Psychological Well-Being Veterans Suicide Prevention United States Department of Defense United States Suicide, Completed Natural Language Processing Predictive Learning Models United States Department of Veterans Affairs
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Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.

Scientific reports Mar 5, 2025
Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis ...
Appendectomy Appendix Adolescent Imaging, Three-Dimensional Acute Disease Appendicitis Male Middle Aged Deep Learning Convolutional Neural Networks Humans Neural Networks, Computer Algorithms Young Adult Adult Sensitivity and Specificity Tomography, X-Ray Computed Female
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Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.

Scientific reports Mar 5, 2025
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...
Blood Donors Erythrocytes Cold Temperature Blood Preservation Deep Learning Adolescent Age Factors Flow Cytometry Humans Female Young Adult Adult Male Middle Aged
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