Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

Abstract Background and Purpose Artificial intelligence (AI) algorithms, particularly deep
learning, have made significant strides in image recognition and classification, providing …

Introduction Artificial intelligence (AI) is increasingly utilised in medical imaging systems and
processes, and radiographers must embrace this advancement. This study aimed to …

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

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 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: 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 …

Introduction As a profession, radiographers have always been keen on adapting and
integrating new technologies. The increasing integration of artificial intelligence (AI) into …

Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in
medical imaging practice to improving patient care. This study aimed to qualitatively explore …

Objectives Current trends in clinical radiography practice include the integration of artificial
intelligence (AI) and related applications to improve patient care and enhance research …