Artificial intelligence (AI) is heralded as the most disruptive technology to health services in
the 21st century. Many commentary articles published in the general public and health …

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 …

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

The arrival of artificially intelligent systems into the domain of medical imaging has focused
attention and sparked much debate on the role and responsibilities of the radiologist …

Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

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 …

An increasing number of unanswered questions made us unsettled about the evolution of
radiology and its current ability to keep up with the pace of healthcare transformation. The …

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 …

This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making
its foray into radiology, a move that is catalysing transformational shifts in the healthcare …

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and
growing rapidly, fueled by availability of large datasets (“big data”), substantial advances in …