J. Olazar
Papers
2
Total Citations
6
H-Index
2
About
J. Olazar is a pioneering surgeon and researcher whose work centers on advancing kidney transplantation through robotic-assisted techniques and data-driven decision-making. Their major contributions lie in demonstrating the feasibility and safety of robotic kidney transplantation (RKT), particularly for deceased donor organs, and in addressing critical factors like cold ischemia time (CIT) that impact graft outcomes. In their landmark 2024 study, Olazar analyzed the largest reported cohort of robotic kidney transplants from deceased donors, showing that prolonged CIT is linked to delayed graft function—a finding with direct implications for organ allocation and surgical planning. With over 3 citations each for their key papers, Olazar’s work is gaining rapid attention in the transplant community. Notably, they also pioneered the use of machine learning decision tree models to predict whether an open or robotic approach is optimal for individual patients, integrating 822 open and 169 robotic cases into a predictive tool that enhances clinical decision-making. This innovative blend of robotics and artificial intelligence positions Olazar at the forefront of precision surgery, offering a roadmap for safer, more personalized transplant care.
Research Focus
Key Achievements
Top Papers
- 1
- 2