Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in automatic …

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 …

Introduction The integration of artificial intelligence (AI) into the domain of radiography holds
substantial potential in various aspects including workflow efficiency, image processing …

Aim To synthesise research on the view of the public and patients of the use of artificial
intelligence (AI) in radiology investigations. Methods A literature review of narrative …

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 …

The development and application of artificial intelligence (AI) to radiology requires an
approach that encompasses a health system. The UK government and National Health …

Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be
practiced in the near future, but several issues need to be resolved before AI can be widely …

Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has
been met with both scepticism and excitement. However, clinical integration of AI is already …

Background Artificial intelligence (AI)-enabled applications are increasingly being used in
providing healthcare services, such as medical imaging support. Sufficient and appropriate …

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