Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …

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 …

Though consistently shown to detect mammographically occult cancers, breast ultrasound
has been noted to have high false-positive rates. In this work, we present an AI system that …

Significant advances in imaging analysis and the development of high-throughput methods
that can extract and correlate multiple imaging parameters with different clinical outcomes …

The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …

Breast cancer is the most frequently diagnosed cancer in women; it poses a serious threat to
women's health. Thus, early detection and proper treatment can improve patient prognosis …

The purpose of breast cancer screening is to find cancers early to reduce mortality and to
allow successful treatment with less aggressive therapy. Mammography is the gold standard …

Objective To investigate the ability of our convolutional neural network (CNN) to predict
axillary lymph node metastasis using primary breast cancer ultrasound (US) images …

Background and objective The value of implementing artificial intelligence (AI) on ultrasound
screening for thyroid cancer has been acknowledged, with numerous early studies …

Breast cancer's global impact and high mortality rates drive interest in Artificial intelligence
(AI) applications. AI's pattern recognition and decision-making abilities offer promise in …