Purpose We aimed to systematically analyse how the radiology community discusses the
concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations …

Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

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 …

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 …

The application of artificial intelligence (AI) in medical practice is spreading, especially in
technologically dense fields such as radiology, which could consequently undergo profound …

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 The purpose of this study was to assess the perception, knowledge, wishes and
expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) …

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 …

Introduction The integration of artificial intelligence (AI) into the domain of radiography holds
substantial potential in various aspects including workflow efficiency, image processing …

Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has
been met with both scepticism and excitement. However, clinical integration of AI is already …