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

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 …

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 …

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

Purpose This paper focuses on how the implementation of artificial intelligence algorithms
(AI) challenges and changes the existing communication practice in radiology seen from a …

The rise of robot radiologists has been seen as a threat due to the hype created in recent
years that artificial intelligence (AI) will substitute radiologists [1]. However, when taking a …

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 …

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 …

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

Rationale and Objectives This study aimed to investigate radiologists' and radiographers'
knowledge, perception, readiness, and challenges regarding Artificial Intelligence (AI) …