Erlan Santos-Gonzalez
Papers
1
Total Citations
10
H-Index
1
About
Erlan Santos-Gonzalez is a researcher at the intersection of surgical training, data visualization, and human performance. His work focuses on developing novel analytical frameworks to improve skill acquisition in minimally invasive surgery. His most cited paper, "Exploratory Visualization of Surgical Training Databases for Improving Skill Acquisition" (2012), introduces a pioneering visualization system that processes multidimensional performance data—including force, position, rotation, and synchronized video—collected from emerging surgical robot and simulator technologies. By analyzing 300 bimanual laparoscopic surgery tasks, Santos-Gonzalez demonstrates how interactive visual analytics can reveal subtle patterns in surgical technique, enabling more targeted feedback for trainees. This work has garnered 10 citations and represents a foundational contribution to the growing field of surgical data science. His research holds significant promise for accelerating the learning curve in complex surgical procedures, ultimately enhancing patient safety and training efficiency. Santos-Gonzalez’s approach bridges engineering, education, and clinical practice, offering a data-driven pathway to refine surgical expertise in an era of increasingly sophisticated operating room technologies.
Research Focus
Key Achievements
Top Papers
- 1