Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

Lotan, Yair; Krishna, Viswesh; Abuzeid, Waleed; Launer, Bryn; Chang, Sam; Krishna, Vrishab; Shingi, Siddhant; Gordetsk, Jennifer; Gerald, Thomas; Woldu, Solomon; Shkolyar, Eugene; Hayne, Dickon; Redfern, Andrew; Spalding, Lisa; Stewart, Courtney; Eyzaguirre, Eduardo; Imtiaz, Shamsunnahar; Narayan, Vikram; Packiam, Vignesh; O'Donnell, Michael; Li, Roger; Baekelandt, Loic; Joniau, Steven; Zuiverloon. Tahlita; Fernandez, Mario; Schultz, Marcela; Hensley, Patrick; Allison, Derek; Taylor, John; Hamza, Ameer; Kamat, Ashish; Nimgaonkar, Vivek; Sonawane, Snehal; Miller, Daniel; Watson, Drew; Vrabac, Damir; Joshi, Anirudh; Shah, Jay; Williams, Stephen

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Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

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Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence–Powered Pathology Assay.pdf (1.6 MB)

Date

2025

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Article

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Artículos Medicina y Ciencias de la Salud

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https://doi.org/10.1097/JU.0000000000004278

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https://hdl.handle.net/11447/11122

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Abstract

Purpose: There are few markers to identify those likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG). We developed and validated artificial intelligence (AI)-b...

Citation

Lotan, Y., Krishna, V., Abuzeid, W. M., Launer, B., Chang, S. S., Krishna, V., Shingi, S., Gordetsky, J. B., Gerald, T., Woldu, S., Shkolyar, E., Hayne, D., Redfern, A., Spalding, L., Stewart, C., Eyzaguirre, E., Imtiaz, S., Narayan, V. M., Packiam, V. T., O'Donnell, M. A., … Williams, S. B. (2025). Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort. The Journal of urology, 213(2), 192–204. https://doi.org/10.1097/JU.0000000000004278

Keywords

Artificial intelligence , Bladder cancer , Progression , Recurrence

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