Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …

Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

AI is a broad concept, grouping initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …

Aim To present an overview of how artificial intelligence has been used to improve clinical
nursing care. Background Artificial intelligence has been reshaping the healthcare industry …

Background Effective deployment of AI tools in primary health care requires the engagement
of practitioners in the development and testing of these tools, and a match between the …

Background Artificial intelligence (AI) is steadily entering and transforming the health care
and Primary Care (PC) domains. AI-based applications assist physicians in disease …

This study provides research-based evidence to profile:(1) the roles of artificial intelligence
in nursing,(2) its research applications, and (3) the research trends for future study. On the …

Purpose The primary care physician's traditional patient contacts are challenged by the
rapidly accelerating digital transformation. In a quantitative survey analysis based on the …

Background: Artificial intelligence (AI) implementation in primary care is limited. Those set to
be most impacted by AI technology in this setting should guide it's application. We organized …

Classification and prediction tasks are common in health research. With the increasing
availability of vast health data repositories (eg electronic medical record databases) and …