This paper explores the integration of AI technologies within medical diagnostic practices, analyzing 15 recent studies on machine learning applications in clinical settings. Results indicate a 23% average improvement in diagnostic accuracy when AI tools augment traditional methods.
View PaperA comprehensive analysis of security vulnerabilities in electronic health record (EHR) systems, with particular focus on XSS and SQL injection threats. The paper proposes a novel framework for security assessment in medical software.
View PaperDeveloping machine learning algorithms to improve diagnostic accuracy in retinal imaging. This research focuses on creating low-resource models that can function effectively in settings with limited computational capabilities, making advanced diagnostics accessible in underserved regions.
Investigating privacy-preserving machine learning techniques for medical image analysis across distributed healthcare facilities. This approach allows model training without centralizing sensitive patient data.
A comprehensive review using PRISMA methodologies analyzing 27 randomized controlled trials to understand Vitamin D's effects on COVID-19 severity and recovery rates. Results suggest a significant protective effect against severe disease progression in patients with adequate Vitamin D levels.
View PaperSystematic review of 18 studies examining the effectiveness of telemedicine programs in rural and underserved communities. The analysis reveals significant improvements in access to specialty care but highlights challenges in technology adoption and infrastructure limitations.
View PreprintExperience with PRISMA, meta-analysis, and systematic review methodologies across various medical research domains.
A comprehensive methodological guide for medical students and researchers on implementing PRISMA guidelines, JBI critical appraisal tools, and statistical methods for meta-analysis. Includes practical examples and common pitfalls to avoid.
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