AIMC Topic: Female

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Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis.

BMC medicine Aug 20, 2025
BACKGROUND: Antipsychotic medications are frequently prescribed to older residents of long-term care facilities (LTCFs) despite their limited efficacy and considerable safety risks. While discontinuation of these drugs might help reduce their associa...
Aged, 80 and over Male Registries Antipsychotic Agents Finland Long-Term Care Retrospective Studies Female Hospitalization Aged Humans Machine Learning
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Cancer care coordination determinants of depression in head and neck cancer survivors.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Aug 20, 2025
PURPOSE: This study aims to explore the role of patient-reported cancer care coordination in explaining depression among head and neck (HNC) cancer survivors.
Patient Reported Outcome Measures Cancer Survivors Middle Aged Depression Surveys and Questionnaires Head and Neck Neoplasms Aged Adult Cross-Sectional Studies Male Humans Female
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Factors influencing the adoption of generative artificial intelligence into classroom teaching by university teachers: An empirical study using SPSS PROCESS macros.

PloS one Aug 20, 2025
With the development of science and technology, higher education faces the challenge of AIGC. As one of the central bodies of higher education, it is essential to understand whether teachers accept this new technology and what factors influence their...
Adult Male Middle Aged China Humans Artificial Intelligence Female Teaching Faculty Surveys and Questionnaires Self Efficacy Generative Artificial Intelligence Universities
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Predicting in-hospital mortality in ICU patients with lymphoma using machine learning models.

PloS one Aug 20, 2025
BACKGROUND: Lymphoma is a severe condition with high mortality rates, often requiring ICU admission. Traditional risk stratification tools like SOFA and APACHE scores struggle to capture complex clinical interactions. Machine learning (ML) models off...
Hospital Mortality ROC Curve Lymphoma Retrospective Studies Intensive Care Units Humans Female Aged Machine Learning Risk Factors Adult Male Middle Aged
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Deep learning-based spatial analysis on tumor and immune cells of pathology images predicts MIBC prognosis.

PloS one Aug 20, 2025
OBJECTIVE: Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. This study aims to explore the correlation between the spatial distribution of lymphocyte aggregates and the prognosis of MIBC using deep learning.
Neural Networks, Computer Prognosis Female Aged Humans Lymphocytes, Tumor-Infiltrating Urinary Bladder Neoplasms Lymphocytes Spatial Analysis Tumor Microenvironment Male Middle Aged Deep Learning
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Anoikis-related genes predicts prognosis and therapeutic response in renal cell carcinoma.

Annals of medicine Aug 19, 2025
BACKGROUND: Metastasis represents the primary cause of cancer-related mortality, with a high incidence observed in renal cell carcinoma (RCC). Anoikis, a specialized form of apoptosis, plays a crucial role in preventing displaced cells from adhering ...
Cell Movement Matrix Metalloproteinase 9 Kidney Neoplasms Carcinoma, Renal Cell Single-Cell Analysis RNA-Seq Computational Biology Gene Expression Regulation, Neoplastic Anoikis Humans Prognosis Female Male Middle Aged Cell Line, Tumor
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Metabolomics and nutrient intake reveal metabolite-nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study.

Nutrition journal Aug 19, 2025
BACKGROUND: Despite advances in metabolomics, the complex relationship between metabolites and nutrient intake in metabolic syndrome (MetS) remains poorly understood in the Korean population.
Cohort Studies Metabolic Syndrome Metabolomics Humans Adult Nutrients Republic of Korea Male Female Middle Aged Diet
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A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups.
Turkey Cancer Survivors Adult Humans Breast Neoplasms Machine Learning Middle Aged Female Self Efficacy Aged
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Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics Aug 19, 2025
BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res...
Fear Health Literacy Self Efficacy East Asian People Ischemic Stroke Humans Phobic Disorders Female Middle Aged Aged China Aged, 80 and over Social Support Cross-Sectional Studies Surveys and Questionnaires Male
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Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease.

BMC medical imaging Aug 19, 2025
AIM: Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation ex...
Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Humans Prospective Studies Radiation Dosage Prone Position
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