Daniel Farivar

About

Daniel Farivar is a leading researcher in orthopedic surgery and robotics, with a focus on advancing precision and safety in joint replacement and spine procedures. His work critically evaluates the efficacy of robotic-assisted and computer-navigated technologies against conventional methods. In a landmark 2021 network meta-analysis of randomized controlled trials, Farivar compared clinical and radiographic outcomes of robotic-assisted, computer-navigated, and conventional unicompartmental knee arthroplasty, demonstrating the nuanced benefits of these technologies. This study, with 11 citations, has informed surgical decision-making. More recently, his 2023 retrospective cohort study, "Complications Have Not Improved With Newer Generation Robots," challenged assumptions about technological progress in spine surgery. By analyzing data from 2019 to 2022, Farivar found that upgrades in newer-generation robots did not significantly reduce complications, a finding with 10 citations that has sparked critical discussion on innovation versus clinical outcomes. His work bridges engineering and clinical practice, offering evidence-based insights for surgeons and researchers. Farivar’s contributions are essential for understanding the real-world impact of robotic systems, making him a key voice in the ongoing evolution of orthopedic and spine surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparing clinical and radiographic outcomes of robotic-assisted, computer-navigated and conventional unicompartmental knee arthroplasty: A network meta-analysis of randomized controlled trials

   11 citations · 2021
2. 2
   Complications Have Not Improved With Newer Generation Robots

   10 citations · 2023

Key Collaborators

Contact & Links