Papers
7
Total Citations
106
H-Index
5
About
Abeer Eddib is a gynecologic surgeon and researcher whose work has significantly advanced the understanding and practice of robotic minimally invasive surgery. Her research spans three interconnected domains: the clinical outcomes of robotic gynecologic surgery in high-risk patient populations, the objective assessment of surgical skill, and procedural innovation in complex reconstructive procedures. Among her most influential contributions, Eddib's 2014 study on morbidly obese patients undergoing robotic gynecologic surgery — cited 39 times — demonstrated that robotic approaches offer a safe surgical option even for this traditionally challenging population. Complementing this clinical focus, her 2012 work on automated video-analysis motion studies (35 citations) broke important ground by introducing quantitative, repeatable metrics for evaluating robotic surgical skill, addressing a long-standing gap in objective performance assessment. Her investigations into learning curves for robotic hysterectomy and the impact of patient age on surgical outcomes further reflect her commitment to evidence-based surgical education and patient safety. More recently, Eddib has turned to procedural standardization, proposing a classification system for sacrocolpopexy to improve consistency across clinical practice and research. Across her career, her work exemplifies a rigorous effort to optimize robotic surgery's safety, teachability, and applicability to diverse patient populations.
Research Focus
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