1Department of Radiology and Research Institute of Radiology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea; 2Department of Radiology, Seoul St …

Artificial intelligence (AI) will likely affect various fields of medicine. This article aims to
explain the fundamental principles of clinical validation, device approval, and insurance …

Objectives We investigated the attitudes of radiologists, information technology (IT)
specialists, and industry representatives on artificial intelligence (AI) and its future impact on …

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• …

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 …

Artificial intelligence is expected to influence clinical practice substantially in the foreseeable
future. Despite all the excitement around the technology, it cannot be denied that the …

Radiology has undergone two major technological transformations since its inception. First,
Ultrasound, MRI and CT radically improved on X-ray for pathology detection. Next, Picture …

Artificial intelligence (AI) will continue to cause substantial changes within the field of
radiology, and it will become increasingly important for clinicians to be familiar with several …

The use of artificial intelligence (AI) has been rapidly progressing in medicine, particularly in
radiology. AI has also been the source of great innovation and a prominent topic of …

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 …