Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 24,351 to 24,360 of 217,425 articles

Healthcare providers' knowledge, attitudes, and practices toward integrating evidence-based practice and artificial intelligence in Saudi Arabia: a cross-sectional study.

BMC health services research
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 

Revolutionizing lung cancer screening: the rise of artificial intelligence integrating circulating tumor markers.

World journal of surgical oncology
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 

Microstate permutation complexity of EEG signals distinguishes minimally conscious state plus from minimally conscious state minus.

Journal of neuroengineering and rehabilitation
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 

Machine learning optimized callogenesis in Justicia gendarussa Burm. f. and phytochemical profiling of in vitro derived callus and leaf extracts.

BMC biotechnology
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 

Evaluating AI-powered instruction on Computed Tomography Angiography (CTA) teaching outcomes: a systematic review and meta-analysis.

BMC medical education
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 

Metaphorical perspectives of pediatric nurses on the use of artificial intelligence in the education of children with chronic diseases.

BMC nursing
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 

The 'Hippocratic Oath' for AI-based clinical decision support systems.

BMC medical informatics and decision making
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