Chika F Ezeana, Tiancheng He, Tejal A Patel, Virginia Kaklamani, Maryam Elmi, Erika Brigmon, Pamela M Otto, Kenneth A Kist, Heather Speck, Lin Wang, Joe Ensor, Ya-Chen T Shih, Bumyang Kim, I-Wen Pan, Adam L Cohen, Kristen Kelley, David Spak, Wei T Yang, Jenny C Chang, Stephen T C Wong
PURPOSE: To evaluate the performance of a biopsy decision support algorithmic model, the intelligent-augmented breast cancer risk calculator (iBRISK), on a multicenter patient dataset. MATERIALS AND METHODS: iBRISK was previously developed by applying deep learning to clinical risk factors and mammographic descriptors from 9700 patient records at the primary institution and validated using another 1078 patients. All patients were seen from March 2006 to December 2016...
November 2023: Radiology. Artificial intelligence