Maria Peral-Boiza
Papers
2
Total Citations
10
H-Index
2
About
Maria Peral-Boiza focuses her research on advancing surgical training through virtual reality and robotics, with a particular emphasis on minimally invasive urological procedures. Her work addresses critical limitations in current surgical practice by developing low-cost, accessible training environments. Her most cited paper, "A Low-Cost Pedagogical Environment for Training on Technologies for Image-Guided Robotic Surgery" (2018, 6 citations), demonstrates her commitment to democratizing surgical education. She further contributes to the field with her 2019 work on "Position Based Model of a Flexible Ureterorenoscope in a Virtual Reality Training Platform for a Minimally Invasive Surgical Robot" (4 citations), which tackles the growing need for improved training tools as robotic systems for ureteroscopy become more prevalent. By creating realistic, position-based models of flexible endoscopes, Peral-Boiza helps bridge the gap between traditional surgical limitations and the potential of robotic assistance. While her citation counts are modest, her work represents foundational steps toward safer, more effective surgical training that could ultimately improve patient outcomes in urology.
Research Focus
Key Achievements
Top Papers
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