The development of artificial intelligence (AI)-based technologies in medicine is advancing
rapidly, but real-world clinical implementation has not yet become a reality. Here we review …

Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …

The purpose of this paper is to investigate how Artificial Intelligence (AI) decision-making
transparency affects humans' trust in AI. Previous studies have shown inconsistent …

Context As the role of AI in healthcare continues to expand there is increasing awareness of
the potential pitfalls of AI and the need for guidance to avoid them. Objectives To provide …

Objective The accuracy of artificial intelligence (AI) in medicine and in pathology in particular
has made major progress but little is known on how much these algorithms will influence …

The application of deep learning algorithms for medical diagnosis in the real world faces
challenges with transparency and interpretability. The labeling of large-scale samples leads …

Broadly, artificial intelligence (AI) can be defined as a branch of computer science that
attempts to understand and build automated entities that imitate human action, behavior, or …

With the rise of AI-embedded systems assisting decisions in the context of medicine, justice,
recruiting, Human-AI trust has become an utmost design priority. Numerous governments …

Based on the theory of cognitive linguistics, this article investigates computer-related
conceptual metaphors in discourses in online Vietnamese newspapers to clarify how …

Antimicrobial resistance (AMR) presents an escalating global health crisis, characterized by
bacteria's growing resistance to conventional antibiotics. Understanding AMR mechanisms …