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Machine learning based classification of catastrophic health expenditures: a cross-sectional study of Korean low-income households.
BMC health services research
Aug 7, 2025
BACKGROUND: Despite the National Health Insurance (NHI) system implemented in South Korea, concerns persist regarding access to health coverage for low-income households. To address this issue, this study aims to use machine learning-based data minin...
Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge.
BMC medical informatics and decision making
Aug 7, 2025
BACKGROUND: Early diagnosis of Parkinson's disease (PD) can assist in designing efficient treatments. Reduced facial expressions are considered a hallmark of PD, making advanced artificial intelligence (AI) image processing a potential non-invasive c...
Urinary Complement proteome strongly linked to diabetic kidney disease progression.
Nature communications
Aug 7, 2025
Diabetic kidney disease (DKD) progression is not well understood. Using high-throughput proteomics, biostatistical, pathway and machine learning tools, we examine the urinary Complement proteome in two prospective cohorts with type 1 or 2 diabetes an...
Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.
Scientific reports
Aug 7, 2025
Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities; however, they sometimes share similarities in histological structure depending on the context. Thus, distinguishing between the two may require care...
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...
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.
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...
Multi-modal machine learning classifier for idiopathic pulmonary fibrosis predicts mortality in interstitial lung diseases.
Respiratory investigation
Aug 6, 2025
BACKGROUND: Interstitial lung disease (ILD) prognostication incorporates clinical history, pulmonary function testing (PFTs), and chest CT pattern classifications. The machine learning classifier, Fibresolve, includes a model to help detect CT patter...
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