Deep learning analysis of radiological images has the potential to improve diagnostic
accuracy of breast cancer, ultimately leading to better patient outcomes. This paper …

Artificial intelligence (AI) holds promise for helping patients access new and individualized
health care pathways while increasing efficiencies for health care practitioners. Radiology …

Artificial Intelligence (AI) for health has a great potential; it has already proven to be
successful in enhancing patient outcomes, facilitating professional work and benefiting …

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

Introduction The rapid pace of research in the field of Artificial Intelligence in medicine has
associated risks for near-term AI. Ethical considerations of the use of AI in medicine remain a …

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

Introduction While artificial intelligence (AI) and recent developments in deep learning (DL)
have sparked interest in medical imaging, there has been little commentary on the impact of …

Introduction Clinical placements (CP) are of paramount importance in the learning and the
acquisition of key competencies in terms of knowledge, skill and professional attributes …

Artificial intelligence (AI) is currently integrated into many medical services. AI is utilized in
many aspects of orthopedic surgery. The scope ranges from diagnosis to complex surgery …

While artificial intelligence (AI) and recent developments in deep learning (DL) have
sparked interest in medical imaging, there has been little commentary on the impact of AI on …