As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …

Triple-negative breast cancer (TNBC) cells are deficient in estrogen, progesterone and
ERBB2 receptor expression, presenting a particularly challenging therapeutic target due to …

Importance Mammography screening currently relies on subjective human interpretation.
Artificial intelligence (AI) advances could be used to increase mammography screening …

The practice of medicine is changing with the development of new Artificial Intelligence (AI)
methods of machine learning. Coupled with rapid improvements in computer processing …

Breast cancer care is a leading area for development of artificial intelligence (AI), with
applications including screening and diagnosis, risk calculation, prognostication and clinical …

This paper aims to provide a review of the basis for application of AI in radiology, to discuss
the immediate ethical and professional impact in radiology, and to consider possible future …

Diagnosis of early invasive breast cancer relies on radiology and clinical evaluation,
supplemented by biopsy confirmation. At least three issues burden this approach: a) …

Purpose To perform a rapid review of the recent literature on radiomics and breast cancer
(BC). Methods A rapid review, a streamlined approach to systematically identify and …

Abstract Machine learning algorithms are being used to screen and diagnose disease,
prognosticate and predict therapeutic responses. Hundreds of new algorithms are being …

We are experiencing a revolution in cancer. Advances in screening, targeted and immune
therapies, big data, computational methodologies, and significant new knowledge of cancer …