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About

Tara M. Pattilachan is a leading researcher in the field of robotic hepatobiliary surgery, with a primary focus on refining minimally invasive techniques for liver and pancreatic procedures. Her major contributions center on the development and validation of difficulty scoring systems—most notably the Tampa Robotic Difficulty Scoring System—which enable surgeons to preoperatively assess case complexity and predict clinical outcomes for robotic hepatectomies and pancreaticoduodenectomies. Through landmark studies analyzing over 500 robotic hepatectomies and a decade of institutional experience, she has demonstrated that robotic approaches yield favorable short-term outcomes and oncologic survival, even in technically demanding locations like the caudate lobe and posterosuperior segments. Her work also explores the utility of the AST-to-platelet ratio index (APRI) in predicting postoperative outcomes and the advantages of robotic platforms for repeat hepatectomies and biliary reconstructions. With multiple papers published in 2024–2025 and cumulative citations exceeding 60, Pattilachan’s research is rapidly shaping best practices in robotic hepatobiliary surgery, providing surgeons with evidence-based tools to enhance patient safety and operative success.