"The goal is to be able to analyze a patient’s CT scan with an algorithm that can accurately predict whether or not their kidney tumor is likely to be a cancer. That way, their treatment and management can be tailored more precisely to them," Terry said. "There’s a lot of potential here for us to be smarter about how we diagnose and treat incidental small renal masses. I believe this is only the beginning of how you’ll see urologists use AI to improve the care of our patients."