Amila Cizmic

Heidelberg University, Universität Hamburg

Papers

3

Total Citations

173

H-Index

3

About

Amila Cizmic is a surgical researcher whose work sits at the intersection of advanced minimally invasive techniques and data-driven performance analysis. Her primary research areas include pancreatic and esophageal surgery, with a specific focus on robotic-assisted procedures, learning curve quantification, and the emerging role of artificial intelligence in the operating room. Cizmic’s most impactful contribution is her 2022 study on learning curves in pancreatic surgery, which has garnered 118 citations and provides a critical framework for standardizing training in open, laparoscopic, and robotic pancreatoduodenectomy. She further advanced the field with a high-volume center comparison of robotic versus open pancreatoduodenectomy (38 citations), demonstrating her commitment to evidence-based surgical innovation. In a forward-looking 2025 scoping review (17 citations), Cizmic explored AI applications for intraoperative video analysis in robotic-assisted esophagectomy, positioning herself at the forefront of surgical technology. Her work is essential reading for surgeons and trainees navigating the adoption of complex robotic platforms, offering both rigorous outcome data and practical insights into the learning process.

Research Focus

Key Achievements

3
H-Index
3
Papers
173
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curves in Open, Laparoscopic, and Robotic Pancreatic Surgery
118 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Heidelberg University, Universität Hamburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago