Women's Health

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.

Sizes of words in this “word cloud” correlate to how often each word was used in survey responses to the question: “What do you perceive are the advantages to using synthetic mammography in screening?” In reference to decreased radiation dose to patients, the words “radiation,” “less” and “dose” were most frequently cited. Illustration courtesy of Samantha Zuckerman, M.D.