Does Artificial Intelligence Meaningfully Enhance Cystoscopy?

Andrew T Lenis¹, Mark S Litwin^{2

3}

Affiliations

¹ Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
² Department of Urology, University of California Los Angeles, Los Angeles, CA, USA.
³ Department of Health Policy & Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

Editorial

Andrew T Lenis et al. J Natl Cancer Inst. 2022.

. 2022 Feb 7;114(2):174-175.

doi: 10.1093/jnci/djab180.

Andrew T Lenis¹, Mark S Litwin^{2

3}

¹ Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
² Department of Urology, University of California Los Angeles, Los Angeles, CA, USA.
³ Department of Health Policy & Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.

No abstract available

Comment on

An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study.
Wu S, Chen X, Pan J, Dong W, Diao X, Zhang R, Zhang Y, Zhang Y, Qian G, Chen H, Lin H, Xu S, Chen Z, Zhou X, Mei H, Wu C, Lv Q, Yuan B, Chen Z, Liao W, Yang X, Chen H, Huang J, Lin T. Wu S, et al. J Natl Cancer Inst. 2022 Feb 7;114(2):220-227. doi: 10.1093/jnci/djab179. J Natl Cancer Inst. 2022. PMID: 34473310 Free PMC article.

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