Development of Patient-Specific Nomogram to Assist in Clinical Decision-Making for Single Port Versus Multi-Port Robotic Partial Nephrectomy: A Report from the Single Port Advanced Robotic Consortium
Nicolas Soputro, Kennedy E. Okhawere, Roxana Ramos‐Carpinteyro, Ruben Sauer Calvo, Yuzhi Wang, Celeste Manfredi, Elizabeth Snajdar, Michael Raver, Indu Saini, Jaya S. Chavali, Carter Mikesell, Adriana M. Pedraza, Mutahar Ahmed, Michael Stifelman, Craig Rogers, Adam Lorentz, Riccardo Autorino, Bertram Yuh, Ryan J. Nelson, Simone Crivellaro
- Year
- 2025
- Citations
- 10
Abstract
In this study, we have devised a novel patient selection nomogram aimed at enhancing clinical decision-making within the expanding repertoire of RPN approaches. The findings highlighted in this study offer valuable guidance to facilitate appropriate patient selection and thereby ensuring favorable perioperative outcomes associated with RPN procedures.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992