Radiology has witnessed the introduction of amazing new discoveries such as ultrasound,
CT, MRI, and PET. These technologies have vastly improved the care of patients across the …

The rapid development of Artificial Intelligence/deep learning technology and its
implementation into routine clinical imaging will cause a major transformation to the practice …

The use of artificial intelligence (AI) algorithms in the field of radiology is becoming more
common. Several studies have demonstrated the potential utility of machine learning (ML) …

Artificial intelligence (AI) will reshape radiology over the coming years. The radiology
community has a strong history of embracing new technology for positive change, and AI is …

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 …

As the role of artificial intelligence (AI) in clinical practice evolves, governance structures
oversee the implementation, maintenance, and monitoring of clinical AI algorithms to …

Because artificial intelligence (AI)-powered algorithms allow automated image analysis in a
growing number of diagnostic scenarios, some healthcare stakeholders have raised doubts …

The idea of using artificial intelligence (AI) in medical practice has gained vast interest due
to its potential to revolutionise healthcare systems. However, only some AI algorithms are …

Implementation of artificial intelligence (AI) applications into clinical practice requires AI-
savvy radiologists to ensure the safe, ethical, and effective use of these systems for patient …

Objectives The patients' view on the implementation of artificial intelligence (AI) in radiology
is still mainly unexplored territory. The aim of this article is to develop and validate a …