Oluwakayode Adejoro

University of Minnesota

Papers

2

Total Citations

41

H-Index

2

About

Oluwakayode Adejoro is a urologic researcher whose work centers on surgical safety and outcomes in robotic-assisted procedures, with a particular focus on the Da Vinci Surgical System. His most impactful contribution is the development of a standardized classification scheme for adverse events associated with this widely used robotic platform. In his 2016 study, which has garnered 37 citations, Adejoro systematically examined the FDA’s MAUDE database to capture and categorize complications and machine failures, providing a critical framework for improving device safety and clinical decision-making. This work has proven essential for surgeons and regulatory bodies seeking to understand and mitigate risks in robotic surgery. Additionally, Adejoro has contributed to the literature on oncologic outcomes in robot-assisted partial nephrectomy, co-authoring a multi-institutional analysis that underscored the importance of achieving negative surgical margins. His research bridges the gap between clinical practice and device surveillance, offering actionable insights that enhance patient safety. Adejoro’s efforts have made him a notable voice in the ongoing evaluation of surgical robotics, helping to shape safer standards in minimally invasive urologic surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
41
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Development of a Classification Scheme for Examining Adverse Events Associated with Medical Devices, Specifically the DaVinci Surgical System as Reported in the FDA MAUDE Database
37 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Minnesota

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago