Federico Di Leo
Papers
1
Total Citations
9
H-Index
1
About
Federico Di Leo is a clinical researcher whose work centers on advancing the safety and precision of minimally invasive gynecologic surgery. His primary research focus is the development of robust risk stratification models to predict and prevent complications in procedures such as hysterectomy. His most notable contribution is a 2022 pilot study that established a novel risk assessment model for complications in minimally invasive hysterectomy, systematically evaluating ten key preoperative variables to forecast the likelihood of major 30-day postoperative adverse events (Clavien-Dindo grade >2). This work, which has garnered 9 citations, provides clinicians with a practical, evidence-based tool to identify high-risk patients, enabling more informed surgical planning and enhanced patient counseling. By translating complex surgical data into actionable risk scores, Di Leo’s research directly addresses a critical gap in patient safety, aiming to reduce morbidity and improve outcomes in a common procedure. His work represents a significant step toward personalized risk management in gynecologic surgery, offering a framework that can be refined and validated in larger, multicenter trials to further elevate the standard of care.
Research Focus
Key Achievements
Top Papers
- 1