Nash S. Moawad
Papers
1
Total Citations
8
H-Index
1
About
Nash S. Moawad is a leading figure in gynecologic surgery and artificial intelligence in medicine, with a focus on endometriosis and minimally invasive surgical innovation. His most-cited work, "Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model" (2025), has already garnered 8 citations, reflecting its timely impact on improving diagnostic accuracy for a condition that often eludes early detection. Moawad’s major contributions lie in bridging machine learning with clinical gynecology, creating predictive tools that enhance preoperative planning and patient outcomes. His research advances the understanding of endometriosis pathophysiology and surgical management, particularly through robotic and laparoscopic techniques. Beyond this landmark paper, Moawad has published extensively on surgical outcomes, fertility preservation, and the integration of AI into women’s health. His work is widely recognized for its translational potential, influencing both clinical practice and future research directions. For students and researchers, Moawad exemplifies how computational methods can transform traditional surgical fields, offering a model for data-driven precision medicine in gynecology.
Research Focus
Key Achievements
Top Papers
- 1