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 …

Background Advances in computer processing and improvements in data availability have
led to the development of machine learning (ML) techniques for mammographic imaging …

Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …

The growth of artificial intelligence in promoting healthcare is rapidly progressing.
Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical …

Background Improved breast cancer risk assessment models are needed to enable
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …

Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …

Objectives Artificial intelligence (AI) has shown promising results when used on
retrospective data from mammographic screening. However, few studies have explored the …

Please see the Editorial Comment by Sadia Khanani discussing this article. Artificial
intelligence (AI) applications for screening mammography are being marketed for clinical …

Artificial intelligence (AI) could have the potential to accurately classify mammograms
according to the presence or absence of radiological signs of breast cancer, replacing or …

Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …