Dalibor Vasilic
Papers
1
Total Citations
14
H-Index
1
About
Dr. Dalibor Vasilic is a pioneering researcher at the intersection of surgery and artificial intelligence, with a primary focus on machine learning applications in surgical motion analysis. His most notable contribution is a comprehensive systematic review examining how machine learning models leverage non-optical motion tracking systems to analyze surgical performance. This seminal work, which has already garnered 14 citations since its 2025 publication, systematically evaluated over 3,600 research records to identify key objectives, experimental designs, and model effectiveness in this emerging field. Dr. Vasilic’s research is particularly significant for advancing objective surgical skill assessment and intraoperative decision support, offering a pathway toward more precise, data-driven surgical training. By synthesizing evidence on both standalone non-optical methods and their integration with optical tracking, he has provided a crucial roadmap for future research directions. His work stands out for its methodological rigor and its potential to transform how surgical proficiency is measured and improved, making him a key figure in the growing field of AI-enhanced surgical education and performance analytics.
Research Focus
Key Achievements
Top Papers
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