F Hirri

Papers

1

Total Citations

9

H-Index

1

About

F Hirri is a researcher whose work centers on the adoption and evaluation of robotic surgical techniques, with a particular focus on bariatric surgery. Their most notable contribution is a systematic review examining the learning curves associated with robotic bariatric procedures, which synthesizes evidence on safety, efficiency, and clinical outcomes. This work, published in 2024 and already garnering 9 citations, provides critical insights for surgeons and institutions transitioning to robotic platforms, highlighting the balance between procedural mastery and patient safety. Hirri’s research addresses a pressing need in minimally invasive surgery: understanding how new technologies can be integrated without compromising care. By systematically analyzing existing data, they offer a roadmap for optimizing training protocols and reducing complications during the adoption phase. Their findings are particularly valuable for bariatric surgery, where precision and consistency are paramount. Hirri’s contributions underscore the importance of evidence-based practice in surgical innovation, making their work a key reference for clinicians and researchers navigating the evolving landscape of robotic-assisted procedures.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Learning curves for adoption of robotic bariatric surgery: a systematic review of safety, efficiency and clinical outcomes
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago