Introduction Artificial intelligence (AI) has started to be increasingly adopted in medical
imaging and radiotherapy clinical practice, however research, education and partnerships …

Objectives Currently, hurdles to implementation of artificial intelligence (AI) in radiology are
a much-debated topic but have not been investigated in the community at large. Also …

Rationale and Objectives This study aimed to investigate radiologists' and radiographers'
knowledge, perception, readiness, and challenges regarding Artificial Intelligence (AI) …

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 …

Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …

Objectives The aim is to offer an overview of the existing training programs and critically
examine them and suggest avenues for further development of AI training programs for …

Purpose Artificial intelligence (AI) in radiology has been a subject of heated debate. The
external perception is that algorithms and machines cannot offer better diagnosis than …

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

Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

Objective There has been a large amount of research in the field of artificial intelligence (AI)
as applied to clinical radiology. However, these studies vary in design and quality and …