Observational studies often guide policy, regulation, litigation, and public health decisions. However, causal claims from such studies can be misleading if key logical and methodological requirements are not met. We synthesized insights from foundat... read more
BACKGROUND: Artificial intelligence (AI) and radiomics are increasingly applied in pediatric neuroradiology to enhance diagnostic precision. However, their clinical implementation remains limited due to methodological variability and lack of standard... read more
Accurate plant species identification underpins taxonomy, conservation, ecological monitoring, and the authentication of medicinal and food resources. While classical morphology-based approaches often struggle with cryptic or closely related taxa, DN... read more
This paper presents a bibliometric analysis of the fast-growing area of deep learning in neuroimaging. Using data from the Scopus database, we analyzed 12564 peer-reviewed publications originating from 102 countries, published in 2259 sources over th... read more
International journal of computer assisted radiology and surgery
Mar 27, 2026
PURPOSE: Interpretation of imaging findings based on morphological characteristics is important for diagnosing pulmonary nodules on chest computed tomography (CT) images. In this study, we constructed a visual question answering (VQA) dataset from st... read more
Recent studies have highlighted the impact of copper-induced cell death (cuproptosis) on cancer progression, prognosis, and treatment, but it remains unclear whether cuproptosis-related genes (CRGs) play any role in the glioma tumor microenvironment ... read more
Organophosphorus compounds (OPCs) are widely applied in diverse industries, yet their continuous release across the full life cycle poses significant risks to human health and ecosystems. Current research on OPCs is largely limited to organophosphate... read more
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