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Artificial Intelligence Prediction Tool in Non-muscle Invasive Bladder Cancer (NMIBC)
Sponsor: University of Texas Southwestern Medical Center
Summary
This is a multi-center study and the aim is to develop and validate an Artificial Intelligence (AI) -based histologic analysis tool to predict responsiveness to intravesical Bacillus Calmette-Guérin (BCG) and intravesical chemotherapy in intermediate and high-risk non-muscle invasive bladder cancer patients.
Official title: Predicting Outcomes in Intermediate and High-risk Non-muscle Invasive Bladder Cancer Using Automated Analysis of Digital Pathology Data
Key Details
Gender
All
Age Range
18 Years - 99 Years
Study Type
OBSERVATIONAL
Enrollment
600
Start Date
2024-01-25
Completion Date
2026-09
Last Updated
2025-08-17
Healthy Volunteers
No
Conditions
Locations (2)
University of Texas Southwestern Medical Center
Dallas, Texas, United States
University of Texas Health Science Center at San Antonio
San Antonio, Texas, United States