Istabraq S. Dalieh
Papers
3
Total Citations
49
H-Index
3
About
Istabraq S. Dalieh is a rising leader in surgical education and robotic surgery, whose work bridges the gap between artificial intelligence and hands-on clinical training. Her research centers on three key areas: AI-driven skills assessment, virtual reality (VR) simulation for surgical training, and the classification of live intraoperative feedback. In her landmark pilot study, Dalieh demonstrated that AI-based video feedback significantly improves novice performance on robotic suturing tasks, offering a scalable, objective alternative to traditional mentorship. This work, already cited 27 times, has laid the foundation for automated, personalized surgical coaching. She also led a multi-institutional study linking VR simulation skills to improved continence recovery after robot-assisted radical prostatectomy, directly connecting simulation metrics to patient outcomes. Additionally, Dalieh developed a novel classification system for live surgical feedback, providing a framework to quantify and improve the quality of intraoperative instruction—a critical step toward standardizing surgical education. With her innovative, data-driven approach, Dalieh is shaping the future of how surgeons learn, practice, and refine their craft in the operating room.
Research Focus
Key Achievements
Top Papers
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- 3Development of a Classification System for Live Surgical Feedback10 citations · 2023