Marco Di Pangrazio

University of Modena and Reggio Emilia, University of Illinois Chicago

Papers

Total Citations

H-Index

About

Marco Di Pangrazio is a rising figure in the field of robotic surgery, with a focused research agenda at the intersection of minimally invasive surgery (MIS), machine learning, and complex organ transplantation. His work is distinguished by a dual commitment to both advancing surgical technique and building the foundational data infrastructure for future AI-driven surgical tools. Di Pangrazio’s major contributions include the creation of the Comprehensive Robotic Cholecystectomy Dataset (CRCD), a novel resource integrating kinematics, pedal signals, and endoscopic videos recorded during ex vivo procedures—a critical step toward developing data-driven, intelligent surgical assistants. His research also provides a comprehensive review of robotic techniques in organ transplantation, addressing the significant technical challenges of performing minimally invasive transplants, and he has evaluated outcomes of robotic liver surgery using the standardized IWATE criteria. With his most cited papers already accumulating citations within their first year of publication, Di Pangrazio is establishing a strong early-career impact. His work is essential reading for researchers and students interested in the future of robotic surgery, surgical data science, and the application of machine learning to improve patient outcomes in complex procedures.