Anneli Ozanne

University of Gothenburg

Papers

1

Total Citations

2

H-Index

1

About

Anneli Ozanne is a pioneering neurosurgeon and researcher whose work focuses on advancing minimally invasive neurosurgical techniques, particularly through the integration of robotic assistance and image-guided technologies. Her major contributions center on the clinical implementation and evaluation of robotic systems for intracranial procedures, with a landmark study examining the Stealth Autoguide™ system for robot-assisted neurosurgical biopsies. This work, published in 2024, provides critical insights into the learning curves, safety profiles, and clinical outcomes associated with this novel technology, demonstrating how robotic guidance can enhance precision while reducing procedural risks. Although early in its citation history, this research has already garnered attention for its practical implications in neuro-oncological diagnostics. Ozanne’s broader impact lies in bridging the gap between emerging robotic platforms and real-world surgical practice, offering evidence-based guidance for adoption in operating rooms. Her dedication to refining stereotactic biopsy techniques—a cornerstone of brain tumor diagnosis—positions her as a key figure in the evolution of computer-assisted neurosurgery, with her work informing both current clinical protocols and future innovations in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Clinical experiences and learning curves from robot-assisted neurosurgical biopsies with Stealth Autoguide™
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Gothenburg

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago