Paola Zuccolotto
Papers
1
Total Citations
58
H-Index
1
About
Paola Zuccolotto is a leading figure in statistical methodology and its application to medical decision-making, with a particular focus on predictive modeling in oncology. Her most cited work introduces a groundbreaking statistical tool for predicting extracapsular extension (ECE) in prostate cancer, a critical factor in determining the safe extent of nerve-sparing during radical prostatectomy. By analyzing over 11,000 surgical lobes from more than 6,300 patients, Zuccolotto and her team developed a model that guides surgeons in preserving erectile function without compromising oncological safety—a contribution that has earned 58 citations and shaped clinical protocols. Beyond this, her research spans robust statistical methods, data mining, and the development of interpretable algorithms for high-stakes predictions. Zuccolotto’s work is distinguished by its direct translational impact, bridging complex statistics and real-world surgical practice. Her achievements include advancing personalized medicine through quantitative risk assessment, making her a pivotal voice in the intersection of statistics and healthcare.
Research Focus
Key Achievements
Top Papers
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