The Current Role of Artificial Intelligence in Urology Training: A Review of Available Platforms and Their Potential...

To develop a structured framework for integrating artificial intelligence into urology residency programs in order to optimize workflow, enhance clinical training, and support resident well-being.

A review informed by a qualitative needs assessment was conducted to identify inefficiencies in urology residency training through available literature and online resources. Commercially available and FDA-approved artificial intelligence platforms were reviewed and mapped to these identified domains. Applications were categorized into workflow optimization, educational support, performance assessment, and resident wellness. Urology-specific use cases were then developed, and corresponding cost estimates were derived based on current clinical practice.

Artificial intelligence applications in urology residency include personalized learning assistants, interview preparation platforms, and wellness monitoring tools. These tools offer targeted learning, real-time feedback, and proactive stress management. Reported benefits include increased efficiency, adaptive education, and improved readiness for assessments, while limitations include privacy concerns, variable accuracy, and limited specialty-specific validation.

Artificial intelligence technologies hold considerable promise for streamlining urology residency training. Implementing artificial intelligence solutions could improve efficiency, educational quality, and resident satisfaction. Future research should focus on real-world implementation, trainee feedback, and long-term outcomes. Cost estimates vary widely across domains, allowing programs to select tools aligned with their specific needs and resources.