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How EEG preprocessing shapes decoding performance.

Communications biology Jul 10, 2025
Electroencephalography (EEG) preprocessing varies widely between studies, but its impact on classification performance remains poorly understood. To address this gap, we analyzed seven experiments with 40 participants drawn from the public ERP CORE d...
Signal Processing, Computer-Assisted Artifacts Evoked Potentials Young Adult Adult Male Electroencephalography Humans Neural Networks, Computer Brain Female
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Inflammatory, fibrotic and endothelial biomarker profiles in COVID-19 patients during and following hospitalization.

Scientific reports Jul 10, 2025
Survivors of severe COVID-19 often suffer from long-term respiratory issues, but the molecular drivers of this damage remain unclear. This study explored the dynamics of inflammatory, fibrotic, and endothelial biomarkers in hospitalized COVID-19 pati...
Humans COVID-19 Biomarkers Female SARS-CoV-2 Fibrosis Respiratory Function Tests Angiopoietin-2 Middle Aged Inflammation Matrix Metalloproteinase 2 Hospitalization Hyaluronic Acid Aged Adult Male
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Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.

Scientific reports Jul 10, 2025
Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation. Drowsiness significantly impairs a driver'...
Humans Automobile Driving Female Sleep Stages Adult Wearable Electronic Devices Male Machine Learning Photoplethysmography Algorithms Accidents, Traffic Heart Rate
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Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.

BMJ health & care informatics Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
Heart Rate Vital Signs Racial Groups Respiratory Rate Middle Aged United States Bias Ethnicity Algorithms Retrospective Studies Critical Illness Intensive Care Units Female Aged Adult Male Humans Machine Learning
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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients.

Journal of medical Internet research Jul 10, 2025
BACKGROUND: One of the main challenges with COVID-19 has been that although there are known factors associated with a worse prognosis, clinicians have been unable to predict which patients, with similar risk factors, will die or require intensive car...
Prognosis Retrospective Studies Intensive Care Units Female SARS-CoV-2 Humans Artificial Intelligence Pandemics COVID-19 Middle Aged Spain Patient Admission Hospitalization Aged Adult Male
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.

Neurosurgical review Jul 10, 2025
Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This study addresses the challenges of imbalanced data in SAH severity classification by employing the Mo...
Subarachnoid Hemorrhage Machine Learning Algorithms Prognosis Female Male Humans Aged Middle Aged Adult Severity of Illness Index
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Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network.

Biomedical physics & engineering express Jul 10, 2025
Predicting the risk of breast cancer recurrence is crucial for guiding therapeutic strategies, including enhanced surveillance and the consideration of additional treatment after surgery. In this study, we developed a deep convolutional neural networ...
Tomography, X-Ray Computed Female Aged Adult Humans Neural Networks, Computer Retrospective Studies Contrast Media Area Under Curve Neoplasm Recurrence, Local Breast Neoplasms Carcinoma, Ductal, Breast Middle Aged Preoperative Period Convolutional Neural Networks ROC Curve
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BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

Analytical methods : advancing methods and applications Jul 10, 2025
Breast cancer is the leading cause of death among women worldwide, and early detection through the standardized BI-RADS framework helps physicians assess the risk of malignancy and guide appropriate diagnostic and treatment decisions. In this study, ...
Area Under Curve Ultrasonography, Mammary Image Interpretation, Computer-Assisted Breast Neoplasms Humans Middle Aged Neural Networks, Computer Deep Learning Female ROC Curve Adult
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Humans Female Gestures Electromyography Machine Learning Young Adult Brain-Computer Interfaces Algorithms Adult Upper Extremity Electroencephalography Male
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Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Jul 9, 2025
PURPOSE: To establish a predictive model for the sonication energy required for focused ultrasound surgery (FUS) of breast fibroadenomas.
Fibroadenoma Adult Humans Breast Neoplasms Machine Learning Middle Aged Algorithms Sonication Retrospective Studies Female
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