Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 11 to 20 of 156,510 articles
Early transcriptional responses reveal cell type-specific vulnerability and neuroprotective mechanisms in the neonatal ischemic hippocampus.
Acta neuropathologica communications
Jul 5, 2025
Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, severely affects the metabolically active and neurogenic hippocampus. To investigate its acute effects and identify drug targets for early therapeutic w...
Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.
BMC public health
Jul 5, 2025
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas wi...
Neuroimaging and biological markers of different paretic hand outcomes after stroke.
Journal of neuroengineering and rehabilitation
Jul 5, 2025
BACKGROUND: Hand dysfunction significantly affects independence after stroke, with outcomes varying across individuals. Exploring biomarkers associated with the paretic hand can improve the prognosis and guide personalized rehabilitation. However, wh...
Assessing psychological resilience and its influencing factors in the MSM population by machine learning.
Scientific reports
Jul 5, 2025
This study assesses the influence of social support, self-esteem, depression, and education on psychological resilience among men who have sex with men (MSM) to inform policy-making. Data were collected from 1,070 MSM via an online survey in Zhejiang...
Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China.
BMJ open
Jul 5, 2025
OBJECTIVE: To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced decision-making and targeted health management in integrat...
Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds.
Biomedical engineering online
Jul 5, 2025
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD), a progressively worsening respiratory condition, severely impacts patient quality of life. Early risk assessment can improve treatment outcomes and lessen healthcare burdens. How...
Serum tryptophan-kynurenine metabolites served as biomarkers of disease activity in rheumatoid arthritis and linked to immune imbalance.
Arthritis research & therapy
Jul 5, 2025
BACKGROUND: Immune imbalance caused by imbalanced helper T(Th)17/regulatory T (Treg) and follicular helper T (Tfh)/follicular regulatory T (Tfr) cells drives the onset of rheumatoid arthritis (RA) fundamentally. Tryptophan (Trp) metabolism is crucial...
Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies.
Scientific reports
Jul 5, 2025
The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates I...
Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.
Annals of medicine
Jul 4, 2025
INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exerts a significant burden on healthcare systems, especially in rural areas where access to care is li...
Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer's disease in cerebrospinal fluid.
Alzheimer's research & therapy
Jul 4, 2025
BACKGROUND: The complex pathogenesis of Alzheimer's disease (AD) has resulted in limited current biomarkers for its classification and diagnosis, necessitating further investigation into reliable universal biomarkers or combinations.
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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