About

Dr. Manuela Perez is a leading authority in robotic surgery simulation and telesurgery, whose work has fundamentally shaped how surgeons train for and perform robot-assisted procedures. Her research centers on three interconnected pillars: validating surgical simulators, defining the technical limits of telesurgery, and improving training methodologies. Dr. Perez’s seminal 2014 study on latency effects in telesurgery, cited over 200 times, established the critical thresholds for network delay that preserve surgical performance, a foundational contribution to the field of remote surgery. She further demonstrated the dV-Trainer® as a valid assessment tool for robotic skills (177 citations), providing the evidence base for its widespread adoption in surgical curricula. Her systematic reviews and comparative analyses of robotic simulators have become essential guides for institutions selecting training platforms. Dr. Perez’s work on latency training and integrated video recording systems has advanced practical training protocols, while her validation of team-training simulators addresses the collaborative nature of the operating room. With over 700 total citations, her research continues to inform the safe expansion of robotic surgery and the development of next-generation telesurgical systems.

Research Focus

Key Achievements

14
H-Index
16
Papers
796
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Determination of the latency effects on surgical performance and the acceptable latency levels in telesurgery using the dV-Trainer® simulator
209 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Inserm, Imagerie Adaptative Diagnostique et Interventionnelle, Centre Hospitalier Régional et Universitaire de Nancy, Université de Lorraine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago