Background The process of translation of AI and its potential benefits into practice in
healthcare services has been slow in spite of its rapid development. Trust in AI in relation to …

Background: Artificial Intelligence (AI) is becoming increasingly prominent in domains such
as healthcare. It is argued to be transformative through altering the way in which healthcare …

Being able to trust technology is of vital importance to its potential users. This is particularly
true within the healthcare sector where lives increasingly depend on the correct application …

Artificial intelligence (AI) can transform health care practices with its increasing ability to
translate the uncertainty and complexity in data into actionable—though imperfect—clinical …

Purpose–The purpose of this paper is to analyze two case studies with a trust matrix tool, to
identify trust issues related to electronic health records. Design/methodology/approach–A …

The study investigates data governance challenges within AI-enabled healthcare systems,
focusing on Project Nightingale as a case study to elucidate the complexities of balancing …

Abstract Background Artificial Intelligence (AI) is increasingly being developed to support
clinical decisions for better health service quality, but the adoption of AI in hospitals is not as …

Background Artificial intelligence and machine learning (AI/ML) technologies like generative
and ambient AI solutions are proliferating in real-world healthcare settings. Clinician trust …

Fiduciary law aims to mitigate the inherent risk of 'trust', which helps restore interpersonal
trust. It remains to be answered how trust should be governed in an AI-driven socio-technical …

Healthcare systems have benefited from technology use and development. Different
technologies have augmented the healthcare system at different capacities and …