Isabel DeLaura

Papers

Total Citations

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About

Isabel DeLaura is a surgical researcher whose work focuses on advancing minimally invasive pancreatic surgery, particularly through the adoption and refinement of robotic techniques. Her major contributions center on defining the learning curve for complex procedures like robotic pancreaticoduodenectomy, a challenging operation for pancreatic cancer. In her landmark 2024 study, DeLaura systematically analyzed the transition from laparoscopic to robotic approaches for a single surgeon, demonstrating that prior laparoscopic experience can significantly shorten the robotic learning curve—a finding that has practical implications for training and patient safety. This work, already garnering 9 citations, highlights her role in bridging the gap between established laparoscopic methods and emerging robotic platforms. DeLaura’s research is notable for its emphasis on measurable outcomes and surgical efficiency, providing a roadmap for surgeons adopting new technologies. Her insights are particularly valuable for trainees and early-career surgeons navigating the complexities of pancreatic surgery, as she combines rigorous data analysis with a clear focus on clinical translation. Through her publications, DeLaura is helping to shape the future of minimally invasive pancreatic surgery, making high-risk procedures more accessible and reproducible.