Artificial intelligence (AI) has the potential to transform surgical practice, particularly through predictive algorithms for postoperative outcomes. However, these algorithms often lack user-friendly interfaces for clinician interaction. This study aimed to evaluate an AI-driven model designed to predict the optimal surgical approach for maximizing functional outcomes in patients undergoing robot-assisted partial nephrectomy (RAPN) integrated with a graphical interface that enables direct verbal physician-algorithm interaction.
Technological Innovation, Artificial Intelligence (AI), Robot-assisted partial nephrectomy (RAPN)