An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy

Key Takeaways for GI Nurses

• AI coaching technology being developed for urologic endoscopy procedures may soon expand to GI endoscopy, potentially transforming how we support physician training and skill development in our units
• This technology represents a shift toward real-time, data-driven performance feedback during procedures, which could enhance patient safety and procedural outcomes in endoscopy suites
• As endoscopy nurses, understanding AI-assisted surgical coaching will become increasingly important for supporting physicians using these systems and adapting our workflow accordingly
• The prevalence of kidney stone disease affecting over 10% of adults highlights the growing demand for endoscopic procedures, paralleling similar trends in GI endoscopy volume

Clinical Relevance

While this research focuses specifically on urologic endoscopy for kidney stone treatment, the implications for GI and endoscopy nursing are significant. AI coaching systems represent an emerging technology that will likely expand across all endoscopic specialties, including colonoscopy, EGD, and advanced therapeutic procedures. As these systems become integrated into endoscopy suites, nurses will need to understand how AI coaching affects workflow, equipment management, and our role in supporting physicians during procedures.

The development of AI coaching for surgical performance directly impacts our responsibilities as patient advocates and procedure coordinators. These systems may provide real-time feedback on technique, efficiency, and safety measures, potentially reducing procedure times and improving outcomes. For endoscopy nurses, this means adapting to new technology interfaces, understanding AI-generated alerts or recommendations, and potentially modifying our monitoring and documentation practices to incorporate AI-assisted feedback.

From a professional development perspective, this research signals the importance of staying current with technological advances in endoscopy. As AI coaching becomes more prevalent, endoscopy nurses will need education on these systems to effectively collaborate with physicians and ensure optimal patient care. This may also create opportunities for specialized nursing roles in AI-assisted procedure coordination and quality improvement initiatives based on AI-generated performance data.

Bottom Line

Although focused on urology, this AI coaching research represents the future of endoscopic procedure support that will inevitably reach GI endoscopy, requiring endoscopy nurses to prepare for new technology integration that will change how we support physician performance, monitor procedures, and contribute to quality improvement in our units.