Papers
4
Total Citations
17
H-Index
3
About
G Pozza is a surgeon-researcher at the forefront of integrating robotics and data science into minimally invasive surgery (MIS). His work bridges two critical domains: the creation of open-access datasets to train machine learning models for surgical automation, and the clinical evaluation of advanced robotic techniques in complex procedures. Pozza led the development of the Comprehensive Robotic Cholecystectomy Dataset (CRCD), a pioneering resource that synchronizes kinematic data, pedal signals, and endoscopic videos from ex vivo procedures—a foundational tool for developing AI-driven surgical assistance (6 citations). He also authored a comprehensive review on robotic surgical techniques in transplantation, highlighting how robotic platforms overcome the technical hurdles of minimally invasive organ transplants (6 citations). Beyond data science, Pozza’s clinical research includes a prospective cohort study on transanal total mesorectal excision (taTME) for distal rectal cancer, examining long-term recurrence and resource utilization (3 citations), and an investigation into para-aortic node involvement in pancreatic cancer survival (2 citations). By combining rigorous clinical outcomes research with the creation of essential data infrastructure, Pozza is shaping the future of data-driven, robot-assisted surgery.
Research Focus
Key Achievements
Top Papers
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- 2Robotic Surgical Techniques in Transplantation: A Comprehensive Review6 citations · 2024
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