Papers
8
Total Citations
171
H-Index
6
About
Rodrigo E. Alterio is a surgeon-researcher whose work sits at the intersection of robotic surgery, surgical education, and emerging technologies. His research spans two compelling frontiers: advancing minimally invasive robotic techniques in oncologic breast surgery and pioneering evidence-based curricula for training the next generation of robotic surgeons. Alterio's most-cited work, a 2024 study on single-port robotic-assisted nipple-sparing mastectomy (60 citations), helped establish the safety and feasibility of the da Vinci SP system, addressing longstanding barriers that had limited robotic adoption in breast surgery. Equally influential is his contributions to surgical education, where his mastery-based virtual reality robotic training platform (49 citations) demonstrated that rigorous, transferable simulation curricula can meaningfully accelerate skill acquisition among general surgery residents. His body of work reveals a systematic approach to building validated training frameworks — from selecting appropriate VR drills to establishing proficiency benchmarks and predicting trainee performance trajectories. More recently, Alterio has ventured into artificial intelligence, developing deep learning models for automated segmentation of complex robotic procedures. With over 170 cumulative citations across eight notable publications, his research is shaping how robotic surgery is both practiced and taught in modern academic medical centers.
Research Focus
Key Achievements
Top Papers
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