Amira Quevedo

University of Florida, University of Louisville

Papers

Total Citations

H-Index

About

Dr. Amira Quevedo is a pioneering researcher at the intersection of artificial intelligence and gynecologic surgery, with key contributions in machine learning for preoperative diagnostics and robotic-assisted benign gynecology. Her most impactful work, "Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model" (2025, 8 citations), introduces a novel computational approach to non-invasively predict endometriosis, potentially reducing diagnostic delays and improving patient outcomes. In her earlier seminal paper, "Robotic Applications for Benign Gynecologic Procedures" (2021, 5 citations), Dr. Quevedo provided a comprehensive review of robotic systems' role in expanding surgical capabilities for complex benign conditions, highlighting FDA-approved platforms that enhance precision and safety. This work has been instrumental in guiding surgeons toward adopting minimally invasive techniques. Her research demonstrates a clear trajectory from evaluating existing robotic tools to developing AI-driven predictive models, positioning her as a forward-thinking leader in women’s health technology. With her work already garnering attention in the field, Dr. Quevedo is shaping the future of personalized, data-driven gynecologic care.