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Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma.
Scientific reports
Aug 7, 2025
This study investigated the effects of feature augmentation, which uses generated images with specific imaging features, on the performance of isocitrate dehydrogenase (IDH) mutation prediction models in gliomas. A total of 598 patients were included...
Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma.
Scientific reports
Aug 7, 2025
The mortality rates have been increasing for glioma in adolescents and young adults (AYAs, aged 15-39 years). However, current biomarkers for clinical assessment in AYAs glioma are limited, prompting the urgent need for identifying ideal prognostic s...
Developing an Equitable Machine Learning-Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation.
JMIR research protocols
Aug 7, 2025
BACKGROUND: Given the high prevalence and cost of Alzheimer disease (AD), it is crucial to develop equitable interventions to address lifestyle factors associated with AD incidence (eg, depression). While lifestyle interventions show promise for redu...
Machine Learning-Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study.
JMIR medical informatics
Aug 7, 2025
BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among individuals and is related to a variety of lifestyle factors in addition to the presence of chronic diseases.
Belun Sleep Platform versus in-lab polysomnography for obstructive sleep apnea diagnosis.
Sleep & breathing = Schlaf & Atmung
Aug 7, 2025
OBJECTIVE: We aimed to compare the Belun Sleep Platform (BSP), an artificial intelligence-driven home sleep testing device, with polysomnography (PSG) for diagnosing obstructive sleep apnea. The BSP analyzes oxygen saturation, heart rate, and acceler...
Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses.
Neuroinformatics
Aug 7, 2025
The amygdala plays a central role in emotion, memory, and decision-making and comprises approximately 13 distinct nuclei with connectivity. Despite its functional importance, high-resolution subnuclear mapping is challenging. This study aimed to cons...
AI-Assisted identification of sex-specific patterns in diabetic retinopathy using retinal fundus images.
PloS one
Aug 7, 2025
Diabetic retinopathy (DR) is a microvascular complication of diabetes that can lead to blindness if left untreated. Regular monitoring is crucial for detecting early signs of referable DR, and the progression to moderate to severe non-proliferative D...
Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.
PloS one
Aug 7, 2025
PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in o...
Screen Time Is Associated With Cardiometabolic and Cardiovascular Disease Risk in Childhood and Adolescence.
Journal of the American Heart Association
Aug 6, 2025
BACKGROUND: Screen time in children and adolescents may be linked to cardiometabolic and cardiovascular risk.
Incorporation of Metabolic Dysfunction-Associated Steatotic Liver Disease in the Health Stage of Cardiovascular-Kidney-Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population.
Journal of the American Heart Association
Aug 6, 2025
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed condition encompassing metabolic dysfunction, chronic kidney disease, and cardiovascular diseases including coronary artery disease (CAD). Although concomitant metaboli...
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