Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: The increasing documentation burden on physicians is a significant contributor to burnou...
Rural small and micro enterprises (RSMEs) struggle to borrow, and the reason is rarely a shortage of...
Understanding the mechanisms driving aboveground biomass (AGB) variation in forest ecosystems is ess...
AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the lea...
Generative artificial intelligence (AI) has rapidly advanced over the past decade in the field of dr...
PURPOSE: To examine the impact of artificial intelligence (AI) on radiologists' workload and economi...
OBJECTIVES: This pilot study investigated whether occlusal force distribution measured by T-Scan can...
The integration of Artificial Intelligence (AI) into modern medicine has revolutionised diagnostic a...
BACKGROUND: Nurse burnout is a pervasive global problem. Cognitive behavioral therapy (CBT) has been...
BACKGROUND: Informal caregivers of people living with dementia often experience high rates of caregi...
BACKGROUND: Operating room (OR)-to-intensive care unit (ICU) handoffs are among the most complex and...
BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfa...
BACKGROUND: Clinician burnout has reached crisis levels in emergency medicine, with clinical documen...
The paper analyzes the cross-region knowledge transfer characteristics of selected state-of-the art ...
BACKGROUND: Digital transformation has accelerated the use of artificial intelligence-enabled health...
Due to the scarcity of expert-annotated data, Semi-Supervised Medical Image Segmentation (SSMIS) has...
The increasing integration of artificial intelligence in clinical decision support systems (AI-CDSS)...
The global health workforce faces a projected shortage of more than 11 million health workers by 203...
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is reshaping the future of medicine, particul...
Predicting antibody and NANOBODY® VHH-antigen complexes remains a critical challenge for state-of-th...
BACKGROUND: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic ...