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iCAD unveils ProFound AI for digital breast tomosynthesis at RSNA

Press releases may be edited for formatting or style | November 27, 2018 Women's Health

In addition to the new data released at the scientific assembly, iCAD will also present “How AI Can Improve Diagnostic Performance and Reduce Reading Time in Breast Tomosynthesis,” led by Senthil Periaswamy, PhD, Vice President of Research, iCAD. The session held on Tuesday at 1:30pm CT will focus on how ProFound AI improves breast cancer detection, reduces recalls and improves reading efficiency for DBT. For more information, including experiential learning sessions about the solution, please visit iCAD’s booth #3911 in the South Hall or in the new Machine Learning Showcase located in the North Hall, booth #8161.

iCAD’s ProFound AI is a high-performance, deep-learning, cancer detection and workflow solution for DBT delivering critical benefits to radiologists, their facilities, and their patients. The new technology is trained to detect malignant soft-tissue densities and calcifications and also provides radiologists with scoring information representing the likelihood that a detection or case is malignant based on the large dataset of clinical images used to train the algorithm. The solution is currently available for use with leading DBT systems in Europe and Canada. It is pending clearance by the United States Food and Drug Administration (FDA). For more information, visit www.icadmed.com.

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About iCAD, Inc.
Headquartered in Nashua, NH, iCAD is a global medical technology leader providing innovative cancer detection and therapy solutions. For more information, visit www.icadmed.com.

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