The advent of artificial intelligence (AI) represents a real game changer in today's landscape
of breast cancer imaging. Several innovative AI-based tools have been developed and …

Simple Summary This research explores how virtual worlds like the Metaverse can improve
breast cancer (BC) diagnosis and treatment. The authors aim to show how these virtual …

Abstract Machine learning models for the diagnosis of breast cancer can facilitate the
prediction of cancer risk and subsequent patient management among other clinical tasks …

Background Artificial intelligence (AI) systems can be used to identify interval breast
cancers, although the localizations are not always accurate. Purpose To evaluate AI …

Rationale and Objectives Little is known about the factors affecting the Artificial Intelligence
(AI) software performance on mammography for breast cancer detection. This study was to …

Objectives To evaluate the improvement of mammography interpretation for novice and
experienced radiologists assisted by two commercial AI software. Methods We compared …

Despite recent advances in artificial intelligence (AI) software with improved performance in
mammography screening for breast cancer, insufficient data are available on its …

Objectives To evaluate the use of a commercial artificial intelligence (AI)–based
mammography analysis software for improving the interpretations of breast ultrasound (US) …

Background Novel artificial intelligence computer-assisted detection (AI-CAD) systems
based on deep learning (DL) promise to support screen reading. Purpose To test a DL-AI …

Background. We compared the clinico‐radio‐pathological characteristics of breast cancer
detected through mammogram (MMG) and ultrasound (USG) and discuss the implication of …