Using AI to predict who recovers well after bladder cancer surgery

This trial is studying how other health conditions (called comorbidities) affect recovery and survival in patients who have had bladder removal surgery for cancer. Researchers will use artificial intelligence and machine learning to analyze medical data from about 500 patients and build a predictive tool that can help doctors identify which patients are at higher risk of serious complications or death after surgery. The goal is to help doctors make better-informed decisions about treatment and care.

Currently, doctors sometimes make different decisions about bladder cancer treatment based on their personal judgment rather than clear evidence, which can lead to inconsistent care. By understanding how other health conditions influence surgical outcomes, this research aims to create better guidelines and tools to help doctors predict who will recover well and ensure all patients receive the most appropriate care.