(296) Current Role of Artificial Intelligence in Urology Training: A Review of Available Platforms and Their Potential Applications

Introduction Given the growing array of FDA-cleared and commercially available AI tools, residency programs now have an opportunity to enhance clinical training and operational efficiency. Objective We aim to review existing artificial intelligence (AI) technologies applicable to urology residency and propose an integration framework to enhance workflow, education, and resident wellness. Methods A qualitative needs assessment was performed through a review of peer-reviewed literature and professional resources to identify workflow inefficiencies and educational gaps in urology training. FDA-cleared and commercially available AI platforms were then evaluated for feasibility and mapped to four key domains: workflow optimization, educational support, performance assessment, and wellness. Cost estimates and urology-specific applications were summarized. Results Ten AI applications were identified across residency domains. Workflow and scheduling platforms improve documentation efficiency and equitable call distribution. Surgical analytics tools enable objective performance feedback. Educational systems personalize learning and identify training gaps, while wellness platforms monitor fatigue and burnout. Benefits include enhanced efficiency, adaptive learning, and data-driven feedback. Limitations include implementation cost, privacy concerns, and lack of urology-specific validation. Estimated annual costs range from $150 to $200,000, depending on the platform and institutional scale. Table 1 summarizes the findings. Conclusions AI offers practical, scalable solutions to modernize urology residency by optimizing clinical workflows, personalizing education, and supporting wellness. Strategic adoption guided by cost-effectiveness, ethical considerations, and resident input may strengthen training outcomes and sustainability. Disclosure No