Papers

15

Total Citations

178

H-Index

8

About

M. Peraire Lores is a leading robotic surgeon and researcher advancing the frontier of minimally invasive urologic oncology. His work centers on integrating augmented reality (AR) and artificial intelligence into robotic surgery, with a primary focus on improving precision in renal, prostate, and adrenal procedures. His most impactful contribution, "Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery" (69 citations), addresses a critical barrier to AR adoption by enabling clear visualization of surgical instruments during complex kidney surgery. Peraire Lores is also a pioneer in evaluating next-generation robotic platforms, having authored seminal comparative studies of the HUGO™ RAS system versus the Da Vinci® Xi for prostatectomy, sacrocolpopexy, and simple prostatectomy—collectively garnering over 55 citations. His "Aalst technique" for nerve-sparing prostatectomy with the HUGO system represents a standardized, reproducible approach that has been adopted internationally. With a publication record spanning high-volume robotic centers, Peraire Lores has demonstrated that new robotic systems can match or exceed established platforms in safety and outcomes. His research in surgical data science, including phase-duration analysis for partial nephrectomy, is shaping how we assess surgical skill and optimize operating room efficiency.

Research Focus

Key Achievements

8
H-Index
15
Papers
178
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery
69 citations · 2023
📈 Most Prolific Year: 2023 (12 Papers)
🤝 Key Collaborators: 129
🏛 Institutions: ORSI Academy, Onze Lieve Vrouwziekenhuis Hospital, Hospital Universitario Son Espases

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago