Survival improves when cancer is detected early. However,~ 50% of cancers are at an
advanced stage when diagnosed. Early detection of cancer or precancerous change allows …

Screening for breast cancer with mammography has been introduced in various countries
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …

The aim of the paper is to find an answer to the question “Who or what is responsible for the
benefits and harms of using artificial intelligence in radiology?” When human beings make …

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 …

Breast cancer has seriously been threatening physical and mental health of women in the
world, and its morbidity and mortality also show clearly upward trend in China over time …

Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …

Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Deep convolutional neural networks (CNNs) have been widely used in various medical
imaging tasks. However, due to the intrinsic locality of convolution operations, CNNs …

Breast carcinoma is the second largest cancer in the world among women. Early detection of
breast cancer has been shown to increase the survival rate, thereby significantly increasing …

This review provides an overview of current applications of deep learning methods within
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …