Gennady V. Atroshchenko
Papers
3
Total Citations
21
H-Index
3
About
Gennady V. Atroshchenko is a pioneering researcher at the intersection of robotic cardiac surgery, simulation-based training, and artificial intelligence. His work focuses on developing and validating objective methods to assess surgical skills, aiming to improve training outcomes and patient safety in minimally invasive cardiac procedures. A key contribution is his leadership in an international multicenter trial demonstrating the validity of simulation-based assessment for robotic cardiac surgery skills, using time-based and modified global evaluative scores (11 citations). He has also advanced the field by creating deep neural networks capable of recognizing surgical actions and categorizing surgeon expertise from video data alone (6 citations), a feasibility study that paves the way for automated skill assessment. Additionally, his examination of learning curves in wet lab simulation training (4 citations) provides critical insights into how surgeons acquire proficiency. Atroshchenko’s work is notable for its cross-specialty scope and its potential to standardize training in a rapidly evolving surgical field, making him a leading voice in the integration of AI and simulation for surgical education.
Research Focus
Key Achievements
Top Papers
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