Dotan Asselmann
Papers
4
Total Citations
52
H-Index
2
About
Dotan Asselmann is a leading researcher at the intersection of artificial intelligence and minimally invasive surgery, with a primary focus on robotic-assisted urological procedures. His groundbreaking work centers on developing computer-vision algorithms to automatically analyze surgical video, transforming unstructured footage into structured, actionable data. Asselmann’s major contributions include creating an AI system that autonomously identifies key surgical steps during robotic radical prostatectomy, achieving 35 citations for this seminal 2024 paper. He further advanced the field by demonstrating how AI can generate accurate, objective operative reports from video analysis, reducing administrative burden and improving documentation quality—a 2025 study already garnering 13 citations. His research addresses critical challenges in surgical data utilization, offering tools that enhance training, quality assessment, and operational efficiency. Asselmann’s work has been presented at prestigious venues like the Journal of Urology, and his algorithms for estimating procedure completion times showcase the practical applications of video analysis in surgical workflow optimization. With a rapidly growing citation impact, Asselmann is pioneering a new era of data-driven surgery, where artificial intelligence unlocks the full potential of surgical video for clinical improvement and research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4