Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study

This study is developing an artificial intelligence (AI) tool that analyzes ultrasound images to more accurately diagnose and stage bladder tumors. Researchers want to see if AI-assisted ultrasound can match or improve on standard diagnosis methods, helping patients and doctors make better treatment decisions. **You may be eligible if...** - You are 18 to 85 years old - An ultrasound has detected a suspected mass in your bladder - You are scheduled to have surgery to treat a bladder tumor **You may NOT be eligible if...** - You are over 85 years old - You cannot undergo an abdominal or rectal ultrasound (e.g., uncooperative or imaging is too poor quality) - You have had bladder tumor surgery, radiation, chemotherapy, or systemic therapy within the past 3 months - You have an indwelling medical device (e.g., ureteral stent or urinary catheter) - You will not have surgery within 2 weeks of the ultrasound - Your tumor is not a standard bladder cancer type, or diagnosis is unconfirmed by pathology Talk to your doctor to see if this trial is right for you.