Simulation-based training is a cornerstone for robotic credentialing in urology, enabling safe skill acquisition and reducing early learning curve-related complications. Institutional credentialing frameworks integrating structured curricula, validated assessment tools and supervised operative exposure provide a reproducible model for competency. Future directions should emphasise artificial intelligence-driven adaptive feedback, integration of VR/AR 'digital twins', cloud-based training ecosystems and harmonised global standards for credentialing.
Satyendra Pratap Singh (Fri,) studied this question.