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TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer's disease and mild cognitive impairment.

BMC medical imaging Jul 31, 2025
Early diagnosis of Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI), is critical for effective prevention and treatment. Computer-aided diagnosis using magnetic resonance imaging (MRI) provides a cost-effective and objectiv...
Cognitive Dysfunction Aged Humans Imaging, Three-Dimensional Aged, 80 and over Image Interpretation, Computer-Assisted Brain Magnetic Resonance Imaging Male Deep Learning Neuroimaging Alzheimer Disease Female
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Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.

BMC medicine Jul 31, 2025
BACKGROUND: Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practic...
Aged, 80 and over Biomarkers Depression Male Humans Female Middle Aged Cohort Studies Aged Machine Learning China Magnetic Resonance Imaging
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Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model.

BMC medical informatics and decision making Jul 31, 2025
OBJECTIVE: This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. The goal was to overcome the limitations of manual segmentatio...
Male Middle Aged Intracranial Hemorrhages Neural Networks, Computer Retrospective Studies Humans Tomography, X-Ray Computed Female
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A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.

BMC pediatrics Jul 31, 2025
BACKGROUND: Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particular...
Risk Factors Male Risk Assessment Infant Child, Preschool ROC Curve Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Humans Machine Learning Retrospective Studies Female Propensity Score
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METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).

BMC gastroenterology Jul 31, 2025
BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditional anthropometric measures (e.g., BMI, waist circumference) inadequately assess metabolically active visceral adiposity. The novel Metabolic Score fo...
Intra-Abdominal Fat Gallstones Obesity Cross-Sectional Studies Predictive Value of Tests Male Waist Circumference Aged Middle Aged ROC Curve Humans Aged, 80 and over Prevalence Nutrition Surveys Female Young Adult United States Risk Factors Adult Metabolic Syndrome
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Scientific reports Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class...
Pain Regional Blood Flow Leg Algorithms Female Young Adult Adult Male Pain Measurement Electroencephalography Walking Humans Machine Learning
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A qualitative study on ethical issues related to the use of AI-driven technologies in foreign language learning.

Scientific reports Jul 31, 2025
The current situation in the use of AI-driven technologies in education has seen an unprecedented rise, however, the impact of these technologies from the perspective of ethical issues is largely unknown. The aim of the research is to provide a clear...
Humans Artificial Intelligence Language Learning Surveys and Questionnaires Female Adult Male Qualitative Research
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Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD.

Scientific reports Jul 31, 2025
Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30-38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease progression, lead to a reduction in adverse outcom...
Humans Female Adult Non-alcoholic Fatty Liver Disease Deep Learning Sensitivity and Specificity ROC Curve Male Image Processing, Computer-Assisted Middle Aged Fatty Liver
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Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.

BMC medical imaging Jul 31, 2025
This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (N...
Chemoradiotherapy Large Language Models Humans Deep Learning Neoadjuvant Therapy Female Tomography, X-Ray Computed Magnetic Resonance Imaging Aged Language Rectal Neoplasms Male Middle Aged
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Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Scientific reports Jul 31, 2025
Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting children's physical growth, cognitive development, and overall well-being. This study overcame a key limitation in previous stunting prediction models by ...
Humans Machine Learning Infant Growth Disorders Child, Preschool Ethiopia Algorithms Female Risk Factors Male
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