Sabine D. Brookman-May, Professor of Urology at Universität München, Senior Vice President and Therapeutic Area Head of Urologic Oncology at Aura Biosciences, shared a post by European Urology on X about a paper by Sam S. Chang et al. published in ScienceDirect, adding:
“Great work done by Sam S. Chang, Roger Li, Philippe Spiess, Bryn M. Launer, Vikram M. Narayan, Sia Daneshmand, Badrinath Konety to validate the CHAI (Computational Histology Artificial Intelligence) model for risk stratification of patients with Ta HG NMIBC in a multicenter cohort:
- CHAI outperformed EAU and AUA risk models in HG-Recurrence-Free Survival and Progression Free Survival
- CHAI shows a great potential of AI-powered pathology to refine risk assessment Curious to see future performance also in other settings including LG IR NMIBC.“
Quoting European Urology‘s post:
“New in European Urology Computational histology AI improves risk stratification in high-grade Ta NMIBC In a multicenter cohort, the Computational Histology Artificial Intelligence (CHAI) assay outperformed current EAU and AUA risk models in predicting recurrence and progression after BCG. These findings highlight the potential of AI-powered pathology to refine risk assessment in non–muscle-invasive bladder cancer.
Chang SS et al. Eur Urol. 2025;88:411–413.”
Title: Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non–muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes
Authors: Sam S. Chang, Bryn Launer, Vikram Narayan, Dattatraya Patil, Michael A. O’Donnell, Patrick J. Hensley, John A. Taylor, Roger Li, Mario I. Fernandez, Haochen Zhang, Viswesh Krishna, Damir Vrabac, Waleed M. Abuzeid, Vivek Nimgaonkar, Drew Watson, Trevor J. Royce, Lesli A. Kiedrowski, Anirudh Joshi, Badrinath R. Konety, Philippe E. Spiess, Siamak Daneshmand
Read the full article on ScienceDirect.
More posts featuring Sabine D. Brookman-May.
