Objectives: To validate the performance of Mirai, a mammography-based deep learning model, in predicting breast cancer risk over a 1-5-year period in Mexican women.
Methods: This retrospective single-center study included mammograms in Mexican women who underwent screening mammography between January 2014 and December 2016. For women with consecutive mammograms during the study period, only the initial mammogram was included.
Background: Perihilar cholangiocarcinoma (pCCA) is a highly lethal hepatobiliary cancer. Radical resection offers the best chance for extended survival, but the efficacy of left-sided hepatectomy (LH) versus right-sided hepatectomy (RH) remains controversial.
Methods: A systematic review and meta-analysis of non-randomized cohort studies comparing LH and RH in patients with resectable pCCA was conducted.