A commentary on “A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study”

aDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Yunnan, 650106, China bDepartment of Respiratory Medicine, The Second Affiliated Hospital of Kunming Medical University, Yunnan, 650106, China Co-authors: Yanghuang Zheng and Hongjin Shi equally contributed to the article. Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. Published online ■ ■ *Corresponding author. Address: E-mail address: [email protected] (J-S.Z.). *Corresponding author. Address: E-mail address: [email protected] (B.H). This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/