Jani Koskinen
Papers
1
Total Citations
36
H-Index
1
About
Jani Koskinen is a leading researcher at the intersection of artificial intelligence, surgical simulation, and human motor control. His primary research areas include deep learning for surgical tool detection, eye-hand coordination in microsurgery, and the computational modeling of surgical expertise. Koskinen’s most notable contribution is the development of an automated deep learning system for tool detection that simultaneously monitors kinematics and eye-hand coordination during microsurgical procedures. This work, published in 2021 and garnering 36 citations, provides a novel, data-driven approach to understanding the complex attentional and motor control strategies surgeons employ under high magnification. By enabling real-time, quantitative analysis of surgical skill, his research has significant implications for surgical training, assessment, and the design of intelligent surgical assistants. Koskinen’s work bridges the gap between computer vision and surgical ergonomics, offering a framework for objectively measuring expertise and improving patient safety. His achievements position him as a key innovator in the emerging field of AI-augmented surgical education.
Research Focus
Key Achievements
Top Papers
- 1