Eugene Shkolyar
Papers
2
Total Citations
57
H-Index
2
About
Eugene Shkolyar is a urologic surgeon and researcher whose work sits at the intersection of artificial intelligence, robotic surgery, and postoperative outcomes. His research primarily focuses on applying AI to endourology and robotic surgery, aiming to enhance surgical precision and patient recovery. In his highly cited 2020 paper, "Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery" (36 citations), Shkolyar provides a comprehensive overview of how machine learning and computer vision are transforming minimally invasive urologic procedures. His second major contribution, "Robot-Assisted Radical Prostatectomy Associated with Decreased Persistent Postoperative Opioid Use" (21 citations), is a landmark study demonstrating that robot-assisted radical prostatectomy significantly reduces the risk of persistent opioid dependence compared to open surgery. This work addresses a critical public health issue, offering evidence that minimally invasive techniques can mitigate the opioid crisis. Shkolyar’s research has been widely cited for its practical implications, influencing both surgical practice and pain management protocols. He is recognized as a forward-thinking clinician-scientist, bridging cutting-edge technology with tangible improvements in patient care.
Research Focus
Key Achievements
Top Papers
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