Nicola Sariye Pollmann

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About

Nicola Sariye Pollmann is a pioneering researcher at the intersection of surgical oncology and artificial intelligence, with a primary focus on improving outcomes in esophageal cancer surgery. Her key research areas include intraoperative fluorescence imaging, robotic-assisted esophagectomy, and the application of machine learning for real-time surgical decision-making. Pollmann’s major contribution lies in developing an unsupervised learning approach to quantify indocyanine green perfusion during full robotic esophagectomy—a breakthrough that addresses the longstanding challenge of subjective visual assessment in gastric conduit viability. Her 2025 paper on this topic, already garnering 2 citations, introduces a data-driven method to predict anastomotic leakage risk with unprecedented objectivity. This work has the potential to reduce one of the most feared complications in esophagectomy, directly impacting patient survival and recovery. Pollmann’s innovative fusion of computer vision and surgical technique positions her as a rising leader in precision surgery, bridging the gap between big data analytics and the operating room. Her research not only advances robotic surgical protocols but also sets a new standard for evidence-based intraoperative monitoring.