… Historically, in radiology practice, trained physicians visually assessed medical images for …
We explore how these methods could impact multiple facets of radiology, with a general focus …

… a practicing radiologist has managed to escape the constant hype of artificial intelligence
(AI… for the cessation of radiologist training,[1] a president citing radiologist displacement as an …

Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …

… to enhance the understanding of a machine learning algorithm, despite its complexity. This
… art of interpretability methods for radiology AI. This review discusses radiologists’ opinions on …

… AI surveillance programs may help radiologists prioritize work lists by identifying … radiologists
out of business. This issue has been overstated, and it is much more likely that radiologists …

… in artificial intelligence (AI) has ballooned within radiology in … patterns from different radiological
imaging modalities, many … In this chapter, we review several AI applications in radiology …

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) in …

… In this scenario, artificial intelligence (AI) has become an attractive … the radiological clinic.
Although AI will not ultimately replace radiologists, many in radiology believe that radiologists …

… depth of radiology's contribution to patient care and population health, and will … radiologists'
workflows. The Canadian Association of Radiologists (CAR) is the national voice of radiology …

… The number of artificial intelligence (AI) products for radiology has rapidly expanded over …
of the Radiological Society of North America (RSNA) and European Congress of Radiology (…