Leonardo Frajhof

Universidade Federal do Estado do Rio de Janeiro

Papers

1

Total Citations

25

H-Index

1

About

Leonardo Frajhof is a pioneering researcher at the intersection of surgical innovation and immersive digital technologies. His work focuses on the application of virtual reality (VR), mixed reality (MR), and augmented reality (AR) to enhance preoperative planning and intraoperative guidance for thoracic surgery, particularly for lung cancer. His most cited study, "Virtual reality, mixed reality and augmented reality in surgical planning for video or robotically assisted thoracoscopic anatomic resections for treatment of lung cancer" (2018, 25 citations), demonstrates how 3D visualization tools can revolutionize the understanding of complex patient anatomy. By translating CT scans into interactive holographic models, Frajhof’s research enables surgeons to rehearse video-assisted thoracoscopic surgery (VATS) and robotic VATS (RVATS) procedures with unprecedented spatial awareness. This work bridges the gap between radiological data and surgical execution, potentially reducing operative risks and improving outcomes. Frajhof’s contributions are particularly notable for their practical focus—bringing cutting-edge extended reality (XR) technologies directly into the operating room. His research serves as a foundational reference for the growing field of immersive surgical planning, inspiring further exploration into how digital twins and real-time 3D interaction can transform minimally invasive cancer surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Virtual reality, mixed reality and augmented reality in surgical planning for video or robotically assisted thoracoscopic anatomic resections for treatment of lung cancer
25 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universidade Federal do Estado do Rio de Janeiro

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago