OBJECTIVE. The purpose of this article is to discuss the problem of interpretability of artificial
intelligence (AI) and highlight the need for continuing scientific discovery using AI algorithms …

This paper aims to provide a review of the basis for application of AI in radiology, to discuss
the immediate ethical and professional impact in radiology, and to consider possible future …

Introduction Artificial intelligence (AI) is increasingly utilised in medical imaging systems and
processes, and radiographers must embrace this advancement. This study aimed to …

Successful adoption of artificial intelligence (AI) in medical imaging requires medical
professionals to understand underlying principles and techniques. However, educational …

Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine,
devices based on machine/deep learning have proliferated, especially for image analysis …

In the era of personalized medicine, the emphasis of health care is shifting from populations
to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and …

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• …

Artificial intelligence (AI) is rapidly transforming healthcare—with radiology at the pioneering
forefront. To be trustfully adopted, AI needs to be lawful, ethical and robust. This article …

Purpose Despite tremendous gains from deep learning and the promise of artificial
intelligence (AI) in medicine to improve diagnosis and save costs, there exists a large …

The use of artificial intelligence (AI) is a powerful tool for image analysis that is increasingly
being evaluated by radiology professionals. However, due to the fact that these methods …