During the past decade, researchers have investigated the use of computer-aided
mammography interpretation. With the application of deep learning technology, artificial …

Background: The aim of this study is to systematically review the literature to summarize the
evidence surrounding the clinical utility of artificial intelligence (AI) in the field of …

Objective To evaluate whether artificial intelligence (AI) for detecting breast cancer on
mammography can improve the performance and time efficiency of radiologists reading …

Although computers have had a role in interpretation of mammograms for at least two
decades, their impact on performance has not lived up to expectations. However, in the last …

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

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

Breast cancer is the most common cancer among women worldwide. Mammography is the
most widely used modality to detect breast cancer. Over the past decade, computer aided …

Breast cancer screening has been shown to significantly reduce mortality in women. The
increased utilization of screening examinations has led to growing demands for rapid and …

Artificial intelligence (AI) is a branch of computer science dedicated to developing computer
algorithms that emulate intelligent human behavior. Subfields of AI include machine learning …

Breast cancer ranks among the most prevalent malignant tumours and is the primary
contributor to cancer‐related deaths in women. Breast imaging is essential for screening …