Purpose To assess the perceptions and attitudes of radiologists toward the adoption of
artificial intelligence (AI) in clinical practice. Methods A survey was conducted among …

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 …

Objectives The objective of this study was to evaluate radiologists' and radiographers'
opinions and perspectives on Artificial Intelligence (AI) and its integration into the radiology …

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

Purpose To report the results of a nationwide online survey on artificial intelligence (AI)
among radiologist members of the Italian Society of Medical and Interventional Radiology …

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 …

Background Advanced developments in diagnostic radiology have provided a rapid
increase in the number of radiological investigations worldwide. Recently, Artificial …

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 …

Aim To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in
Radiology, in particular, assessing the demand for AI education. Materials and methods A …

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 …