This paper sets out an account of trust in AI as a relationship between clinicians, AI
applications, and AI practitioners in which AI is given discretionary authority over medical …

The pandemic caused by the rapid spread of the Covid-19 virus has revealed impacts well
beyond those linked to health. Indeed, it has established itself as what Mauss called a “total …

Explainable AI (xAI) methods are important for establishing trust in using black-box models.
However, recent criticism has mounted against current xAI methods that they disagree, are …

For years, violence against doctors and healthcare workers has been a growing social issue
in China. In a recent series of studies, we provided evidence for a motivated scapegoating …

Objective To examine the information seeking behavior and health literacy of caregivers of
individuals living with spinal cord injury in Switzerland and their impact on the caregiving …

Background In emergency cases, lack of other treatment alternatives may affect a person's
decision, but it does not render that decision involuntary. Being able to make choices is a …

Using dignity as a foundational value of morality, this article defines trust, autonomy,
vulnerability, and resilience in relational terms. A fictional narrative illustrates these attributes …

The UK Government's Code of Conduct for data-driven health and care technologies,
specifically artificial intelligence (AI)-driven technologies, comprises 10 principles that …

The purpose of this paper was to explore online media coverage of COVID-19 vaccination
and user reactions to the different types of coverage. The authors aimed to investigate …

The study aimed to investigate the range of experiences and attitudes of Croatian medical
doctors (MDs) related to vaccination and vaccine hesitancy. In January 2021 three …