Antonio Salvador
Fundacio Investigacio Hospital General Universitari De Valencia
Papers
2
Total Citations
45
H-Index
2
About
Antonio Salvador is a leading researcher at the intersection of mixed reality and robotic-assisted surgery (RAS), where his work is tackling one of the field’s most persistent challenges: the steep learning curve for surgeons. His key contributions focus on developing innovative training tools that leverage immersive technologies to accelerate surgical skill acquisition. In his highly cited 2023 paper, “A new mixed reality tool for training in minimally invasive robotic-assisted surgery” (23 citations), Salvador introduced a novel platform that overlays critical guidance directly onto a surgeon’s field of view, making complex RAS procedures more intuitive. Building on this, his 2022 work, “Mixed Reality Annotation of Robotic-Assisted Surgery videos with real-time tracking and stereo matching” (22 citations), pioneered a method to enhance stereoscopic surgical videos—a common teaching resource—with dynamic, spatially accurate annotations. These contributions are not only advancing surgical education but also paving the way for safer, more accessible RAS. With a total of 45 citations across his most prominent papers, Salvador’s research is gaining traction as a practical solution to a critical bottleneck in modern surgery, positioning him as a rising voice in the field of medical technology and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2