Objective The objective was to identify barriers and facilitators to the implementation of
artificial intelligence (AI) applications in clinical radiology in The Netherlands. Materials and …

Objectives The patients' view on the implementation of artificial intelligence (AI) in radiology
is still mainly unexplored territory. The aim of this article is to develop and validate a …

A survey among the members of European Society of Radiology (ESR) was conducted
regarding the current practical clinical experience of radiologists with Artificial Intelligence …

Objectives To map the clinical use of CE-marked artificial intelligence (AI)–based software in
radiology departments in the Netherlands (n= 69) between 2020 and 2022. Materials and …

Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in automatic …

We report the results of a survey conducted among ESR members in November and
December 2018, asking for expectations about artificial intelligence (AI) in 5–10 years. Of …

Objectives: This scoping review was conducted to determine the barriers and enablers
associated with the acceptance of artificial intelligence/machine learning (AI/ML)-enabled …

As the role of artificial intelligence (AI) in clinical practice evolves, governance structures
oversee the implementation, maintenance, and monitoring of clinical AI algorithms to …

Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be
practiced in the near future, but several issues need to be resolved before AI can be widely …

Artificial intelligence (AI) software in radiology is becoming increasingly prevalent and
performance is improving rapidly with new applications for given use cases being …