Nazanin Esmaili
Papers
1
Total Citations
10
H-Index
1
About
Dr. Nazanin Esmaili is a leading researcher at the intersection of orthopedic surgery and artificial intelligence, with a primary focus on advancing total knee arthroplasty (TKA) outcomes through data-driven methodologies. Her most impactful work, a machine learning-augmented systematic review published in 2021, rigorously compared clinical outcomes of robotic and computer-navigated TKA, synthesizing evidence to guide surgical decision-making. This study, which has garnered 10 citations, exemplifies her commitment to leveraging computational tools—such as machine learning algorithms—to enhance the precision and reliability of systematic reviews in orthopedics. By integrating AI with traditional evidence synthesis, Dr. Esmaili has pioneered approaches that reduce bias and uncover nuanced patterns in surgical data, directly informing clinical practice. Her contributions are particularly notable for bridging the gap between advanced technology and patient care, offering actionable insights for surgeons adopting robotic and navigated techniques. As a researcher, she continues to explore how predictive modeling can optimize surgical workflows and improve long-term patient outcomes, positioning her as a key voice in the evolving field of AI-augmented orthopedic research.
Research Focus
Key Achievements
Top Papers
- 1