Objective Despite the widespread recognition of the importance of artificial intelligence (AI)
in healthcare, its implementation is often limited. This article aims to address this …

Artificial intelligence (AI) applications are particularly promising in the field of medical
imaging. Especially in radiology, research presents various AI uses cases, highlighting AI …

Objectives Current trends in clinical radiography practice include the integration of artificial
intelligence (AI) and related applications to improve patient care and enhance research …

Objectives Why is there a major gap between the promises of AI and its applications in the
domain of diagnostic radiology? To answer this question, we systematically review and …

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 …

Introduction The impact of artificial intelligence (AI) on the radiography profession remains
uncertain. Although AI has been increasingly used in clinical radiography, the perspectives …

Successful adoption of artificial intelligence (AI) in medical imaging requires medical
professionals to understand underlying principles and techniques. However, educational …

Introduction The current technological developments in medical imaging are centred largely
on the increasing integration of artificial intelligence (AI) into all equipment modalities. This …

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 …

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 …