Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Artificial intelligence (AI) has the potential to change the future of human resource
management (HRM). Scholars from different disciplines have contributed to the field of AI in …

Background Research on technologies based on artificial intelligence in healthcare has
increased during the last decade, with applications showing great potential in assisting and …

Aim. To synthesise the available evidence on the applicability of artificial intelligence in
nursing care. Background. Artificial intelligence involves the replication of human cognitive …

Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

Background The healthcare landscape is rapidly evolving, with artificial intelligence (AI)
emerging as a transformative force. In this context, understanding the viewpoints of nursing …

Machine learning (ML)-based risk prediction models hold the potential to support the health-
care setting in several ways; however, use of such models is scarce. We aimed to review …

Artificial Intelligence (AI) in medical applications holds great promise. However, the use of
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …

Clinical diagnosis is essentially a data curation and analysis activity through which clinicians
seek to gather and synthesize enough pieces of information about a patient to determine …

Objective To retrieve and appraise studies of deployed artificial intelligence (AI)-based
sepsis prediction algorithms using systematic methods, identify implementation barriers …