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Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP.

BMC medical informatics and decision making Jul 15, 2025
BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), characterized by high incidence, elevated mortality rates, and substantial therapeutic challenges. Accurate prediction of mortality in patients with hemorr...
Aged Retrospective Studies Male Critical Illness Middle Aged Intensive Care Units Female Risk Assessment Humans Hospital Mortality Machine Learning Hemorrhage Prognosis
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Medical undergraduate students' awareness and perspectives on artificial intelligence: A developing nation's context.

BMC medical education Jul 15, 2025
BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, yet its integration into medical education remains limited. This study assesses undergraduate healthcare students' knowledge and perceptions of AI, its applications, challenges, and th...
Adult Students, Medical Cross-Sectional Studies Male Artificial Intelligence Humans Female Young Adult Surveys and Questionnaires Health Knowledge, Attitudes, Practice Developing Countries Curriculum Education, Medical, Undergraduate
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Non-invasive liver fibrosis screening on CT images using radiomics.

BMC medical imaging Jul 15, 2025
PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of the liver.
Liver Cirrhosis Contrast Media Liver Radiographic Image Interpretation, Computer-Assisted Image-Guided Biopsy Radiomics Male Middle Aged ROC Curve Female Aged Adult Humans Machine Learning Tomography, X-Ray Computed
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Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla.

BMC medical imaging Jul 15, 2025
OBJECTIVE: This prospective study aimed to assess the feasibility of a half-Fourier single-shot turbo spin echo sequence (HASTE) with deep learning (DL) reconstruction for ultrafast imaging of the bladder with reduced susceptibility to motion artifac...
Humans Prospective Studies Feasibility Studies Image Interpretation, Computer-Assisted Artifacts Male Urinary Bladder Middle Aged Deep Learning Magnetic Resonance Imaging Female Aged Adult
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t...
Jaundice, Neonatal Extreme Learning Machines Infant, Newborn Deep Learning Image Processing, Computer-Assisted Humans Machine Learning Algorithms Female
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Scientific reports Jul 15, 2025
Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. This drug has serious adverse drug reactions (ADRs), including the risk of severe neutropenia (agranulocytosis). Patients who could benefit from clozapin...
Agranulocytosis Drug-Related Side Effects and Adverse Reactions Clozapine Antipsychotic Agents Algorithms Biomarkers Female Adult Male Middle Aged Schizophrenia Humans Machine Learning
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Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers.

Scientific reports Jul 15, 2025
Ultrasound imaging plays an important role in fetal growth and maternal-fetal health evaluation, but due to the complicated anatomy of the fetus and image quality fluctuation, its interpretation is quite challenging. Although deep learning include Co...
Humans Neural Networks, Computer Pregnancy Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Fetus Female Ultrasonography, Prenatal Deep Learning Convolutional Neural Networks
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Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning.

Scientific reports Jul 15, 2025
Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor heterogeneity and morbidity. Tumor angiogenesis, a vital hallmark of cancer, greatly influences the tumor microenvironment (TME). The emergence of anti-an...
Humans Gene Expression Regulation, Neoplastic Angiogenesis Inhibitors Urinary Bladder Neoplasms Neovascularization, Pathologic Angiogenesis Tumor Microenvironment Machine Learning Biomarkers, Tumor Male Prognosis Deep Learning Female
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Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.

Scientific reports Jul 15, 2025
Digital technologies for monitoring motor symptoms of Parkinson's Disease (PD) underwent a strong evolution during the past years. Although it has been shown for several devices that derived digital gait features can reliably discriminate between hea...
Middle Aged Disease Progression Severity of Illness Index Parkinson Disease Female Aged Male Humans Machine Learning Gait
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Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports Jul 15, 2025
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr...
Deep Learning Image Processing, Computer-Assisted Support Vector Machine Visual Perception Humans Female Breast Neoplasms
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