Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice
of physicians across the world. Radiology has a strong affinity for machine learning and is at …

Although recent scientific studies suggest that artificial intelligence (AI) could provide value
in many radiology applications, much of the hard engineering work required to consistently …

Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …

The term “artificial intelligence”(AI) includes computational algorithms that can perform tasks
considered typical of human intelligence, with partial to complete autonomy, to produce new …

Artificial intelligence (AI) and deep learning (DL) remains a hot topic in medicine. DL is a
subcategory of machine learning that takes advantage of multiple layers of interconnected …

Artificial intelligence (AI) and deep learning have been met with great interest by both the
medical and nonmedical community [1, 2]. Within medicine, deep learning has …

Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be
practiced in the near future, but several issues need to be resolved before AI can be widely …

The emergence of massively parallel yet affordable computing devices has been a game
changer for research in the field of artificial intelligence (AI). In addition, dramatic investment …

This Editorial comment refers to the article “Medical students' attitude towards artificial
intelligence: a multicenter survey,” Pinto Dos Santos D, et al Eur Radiol 2018. Key Points• …

As artificial intelligence (AI) is finding its place in radiology, it is important to consider how to
guide the research and clinical implementation in a way that will be most beneficial to …