Ankeet Shah

University of Southern California, Intuitive Surgical (United States)

Papers

Total Citations

220

H-Index

About

Dr. Ankeet Shah is a pioneering researcher at the intersection of telemedicine and robotic surgery, whose work is reshaping how minimally invasive procedures are taught and performed. His primary research areas include surgical telementoring, telesurgery, and the objective assessment of surgical skill using automated performance metrics. Dr. Shah’s most influential work, a comprehensive review on telementoring and telesurgery (144 citations), established a foundational framework for leveraging robotic systems’ endoscopic optics and mechanized instruments to enable remote guidance and surgery—a field of tremendous and growing interest. He further advanced surgical education by developing and validating automated performance metrics to objectively measure surgeon proficiency during robotic vesicourethral anastomosis (76 citations). This work culminated in a methodically crafted training tutorial, providing a standardized, data-driven pathway for surgeons to master this critical step in robotic-assisted radical prostatectomy. By moving beyond subjective evaluation, Dr. Shah’s contributions are instrumental in creating reproducible, high-quality training protocols and expanding access to expert surgical guidance, ultimately aiming to improve patient outcomes and democratize advanced surgical care.