BACKGROUND: Integrating evidence-based practice (EBP) with artificial intelligence (AI) has the potential to enhance healthcare quality, clinical decision-making, and system efficiency. Understanding healthcare providers' knowledge, attitudes, and pr... read more
Lung cancer persists as the predominant oncological cause of mortality globally, underscoring an imperative public health issue that demands effective screening methodologies to mitigate its impact. The National Lung Screening Trial (NLST) from the N... read more
Journal of neuroengineering and rehabilitation
Apr 30, 2026
BACKGROUND: Accurately distinguishing minimally conscious state plus (MCS+) from minimally conscious state minus (MCS-) is critical for prognosis and treatment planning. Microstate analysis decomposes multichannel electroencephalography (EEG) into a ... read more
BACKGROUND: In vitro callus culture systems have been well documented to increase the production of bioactive metabolites. However, optimization of culture conditions through traditional methods consumes time and resources. In the current study, we u... read more
OBJECTIVE: To systematically evaluate the effectiveness of AI-assisted teaching in computed tomography angiography (CTA) training, focusing on theoretical knowledge, practical skills, image judgment time, and teaching satisfaction. METHODS: Eight dat... read more
PURPOSE: This study aimed to explore pediatric nurses' perceptions of using artificial intelligence in the education of children with chronic diseases through metaphor analysis. DESIGN AND METHODS: This study was designed as a qualitative descriptive... read more
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