Introduction Medical imaging is arguably the most technologically advanced field in
healthcare, encompassing a range of technologies which continually evolve as computing …

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

The integration of artificial intelligence (AI) in radiology has garnered significant attention,
with promises to revolutionize the field, and increasingly compelling evidence. While the …

Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …

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 …

Artificial intelligence (AI) has been positioned as being the most important recent
advancement in radiology, if not the most potentially disruptive. Singapore radiologists have …

Abstract Background Artificial Intelligence (AI) innovations in radiology offer a potential
solution to the increasing demand for imaging tests and the ongoing workforce crisis. Crucial …

Studies have shown that the radiology community is still undecided on welcoming artificial
intelligence (AI) as part of their workflow. The great features introduced by AI are creating …

Objectives Artificial intelligence (AI) is seen as a major disrupting force in the future
healthcare system. However, the assessment of the value of AI technologies is still unclear …

Introduction As a profession, radiographers have always been keen on adapting and
integrating new technologies. The increasing integration of artificial intelligence (AI) into …