S Bann

About

S Bann is a pioneering researcher in the field of robotic-assisted surgery, with a primary focus on understanding the learning curves and technical benefits of telemanipulator systems. His groundbreaking work has been instrumental in objectively assessing how surgeons acquire proficiency with the da Vinci surgical system, a master–slave telemanipulator that has transformed minimally invasive procedures. In his most cited study (173 citations), Bann conducted a qualitative and quantitative analysis of the learning curve for a simulated surgical task on the da Vinci system, providing crucial insights into the training requirements and skill acquisition necessary for safe adoption. His second major contribution (161 citations) demonstrated the significant advantages of stereoscopic vision in robotic-assisted performance, proving that three-dimensional visualization enhances precision and efficiency on bench models. These findings have had a lasting impact on surgical education and the design of robotic platforms, helping to establish evidence-based training protocols. Bann’s work remains a cornerstone for researchers and clinicians seeking to optimize the integration of robotic technology into surgical practice, highlighting both the potential and the challenges of this rapidly evolving field.

Research Focus

Key Achievements

Top Papers

1. 1
   Qualitative and quantitative analysis of the learning curve of a simulated surgical task on the da Vinci system

   173 citations · 2004
2. 2
   The benfits of stereoscopic vision in robotic-assisted performance on bench models

   161 citations · 2004
3. 3
   General Papers 10

   11 citations · 2002

Key Collaborators

Contact & Links