UDD Logo
CRIS - Current Research Information System
New user? Click here to register.Have you forgotten your password?
Communities & Collections
Research Outputs
Fundings & Projects
Researchers
Datasets
Statistics
  1. Home
  2. CRIS
  3. Publications
  4. Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort
Details

Predicting Response to Intravesical BCG in High-Risk NMIBC Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort

Journal
Journal of Urology
ISSN
0022-5347
1527-3792
Date Issued
2024
Author(s)
Yair Lotan
Viswesh Krishna
Waleed M. Abuzeid
Bryn Launer
Sam S. Chang
Vrishab Krishna
Siddhant Shingi
Jennifer B. Gordetsky
Thomas Gerald
Solomon Woldu
Eugene Shkolyar
Dickon Hayne
Andrew Redfern
Lisa Spalding
Courtney Stewart
Eduardo Eyzaguirre
Shamsunnahar Imtiaz
Vikram M. Narayan
Vignesh T. Packiam
Michael A. O’Donnell
Roger Li
Loic Baekelandt
Steven Joniau
Tahlita Zuiverloon
Mario I. Fernandez  
Facultad de Medicina Clínica Alemana Universidad del Desarrollo  
Marcela Schultz
Facultad de Medicina Clínica Alemana Universidad del Desarrollo  
Patrick J. Hensley
Derek Allison
John A. Taylor
Ameer Hamza
Ashish Kamat
Vivek Nimgaonkar
Snehal Sonawane
Daniel L. Miller
Drew Watson
Damir Vrabac
Anirudh Joshi
Jay B. Shah
Stephen B. Williams
Type
journal-article
DOI
10.1097/JU.0000000000004278
URL
https://investigadores.udd.cl/handle/123456789/10478
Subjects
artificial intelligence

; 

bladder cancer

; 

progression

; 

recurrence
Logo Universidad de Desarrollo
Encuéntranos en:

Sede Santiago

Av. Plaza 680, Las Condes

Contacto|Mapa

Sede Concepción

Ainavillo 456, Concepción

Contacto|Mapa

Hosting & SupportLogo Scimago Lab

Built with DSpace-CRIS software - Extension maintained and optimized by 4science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify