This topical review is focused on the clinical breast x-ray imaging applications of the rapidly
evolving field of artificial intelligence (AI). The range of AI applications is broad. AI can be …

This review article aims to discuss current trends, techniques, and promising uses of artificial
intelligence (AI) in breast imaging, apart from the pitfalls that may hinder its progress. It …

The objective of this article was to evaluate the evidence currently available about the
clinical value of artificial intelligence (AI) in breast imaging. Nine experts from the disciplines …

Artificial intelligence (AI) for breast imaging has rapidly moved from the experimental to
implementation phase. As of this writing, Food and Drug Administration (FDA)-approved …

The rapid growth of artificial intelligence (AI) in radiology has led to Food and Drug
Administration clearance of more than 20 AI algorithms for breast imaging. The steps …

Screening for breast cancer with mammography has been introduced in various countries
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …

Objective Although artificial intelligence (AI) has demonstrated promise in enhancing breast
cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various …

Breast cancer is the most commonly diagnosed cancer and the second leading cause of
cancer death among women in the United States, with over 281,000 estimated new cases …

Attempts to use computers to aid in the detection of breast malignancies date back more
than 20 years. Despite significant interest and investment, this has historically led to minimal …

Artificial Intelligence (AI) has taken radiology by storm, in particular, mammogram
interpretation, and we have seen a recent surge in the number of publications on potential …