Casas: AI Shows Promise in Bladder Tumor Detection During Cystoscopy

A new systematic review highlights the potential of artificial intelligence models to assist in the detection of bladder tumors during cystoscopy. The research, led by experts at City of Hope, aims to improve diagnostic accuracy for patients with suspected bladder cancer.
Why it matters
AI-assisted diagnostics could significantly improve early detection rates and clinical outcomes for oncology patients.
Salvador Jaime-Casas , Postdoctoral Research Fellow at City of Hope, shared on X :
“Very excited to share our most recent publication lead by stellar mentors Francesco Del Giudice, Benjamin Chung – a SR of AI models for tumor detection during cysto in pts with suspected Bladder Cancer .
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in