Hypertension remains a critical global public health challenge, with its complex etiology poorly captured by traditional linear models, especially regarding macro-level structural and gender-specific drivers. To address this, we employed an interpret...
BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models (LLMs) in 2022, and the concomitant surge in AI-related literature, has prompted us to update the evolving impact of AI on undergraduate med...
Diverse machine learning methods promise to forecast gene expression changes in response to novel genetic perturbations. However, these methods' accuracy is not well characterized. We created a benchmarking platform that combines a panel of 11 large-...
PURPOSE: To evaluate the postoperative pneumonia (POP) risk of patients with non-small cell lung cancer (NSCLC), identify influencing factors, develop a LASSO regression-based model to predict POP risk and identify critical influencing factors.
OBJECTIVE: Anti-melanoma differentiation-associated gene 5-positive dermatomyositis (anti-MDA5 + DM) is a unique subtype of idiopathic inflammatory myopathy (IIM) with a poorer prognosis. The immune-metabolic landscape underlying anti-MDA5 + DM patho...
BACKGROUND: Fetal growth restriction (FGR) contributes to over 30% of late-pregnancy stillbirth, yet its diagnosis is challenging because current methods rely on indirect surrogate markers (estimated fetal weight and umbilical artery) that often fail...
BACKGROUND: Increasing public acceptance of medical large language models will be beneficial for further leveraging their potential in reducing medical costs and improving efficiency. The objective of our research is to figure out the acceptance of h...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into family medicine research and practice, enhancing diagnostics, data analysis, and care delivery. Yet, its rapid adoption has outpaced the development of standardized editorial po...
BACKGROUND: In the context of artificial intelligence (AI) profoundly reshaping the educational ecosystem, teachers, as core drivers of the intelligent education era, are facing unprecedented opportunities and mental health challenges. Although AI de...
BACKGROUND: In conservative societies such as Lebanon and the broader Middle East and North Africa region, gynecological and intimate health issues are heavily stigmatized, limiting young women's access to care due to fear of judgment, privacy concer...
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