Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence
is on the rise. The diagnosis of this disease in the first steps can be highly challenging …

Objectives To establish a breast lesion risk stratification system using ultrasound images to
predict breast malignancy and assess Breast Imaging Reporting and Data System (BI …

Background This retrospective study aims to validate the effectiveness of artificial
intelligence (AI) to detect and classify non-mass breast lesions (NMLs) on ultrasound (US) …

Background Early diagnosis of breast cancer has always been a difficult clinical challenge.
We developed a deep-learning model EDL-BC to discriminate early breast cancer with …

We developed a continuous learning system (CLS) based on deep learning and
optimization and ensemble approach, and conducted a retrospective data simulated …

Background and Objectives: This study compares the clinical properties of original breast
ultrasound images and those synthesized by a generative adversarial network (GAN) to …

Simple Summary This review analyzes the possibility of breast ultrasound as a primary
screening modality for breast cancer, particularly in resource-limited areas. It examines 52 …

Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …

Locoregional recurrence (LRR) is the predominant pattern of relapse after definitive breast
cancer treatment. The present study aimed to develop machine learning (ML)‑based …

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 …