Marianna Konidari

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About

Dr. Marianna Konidari is a rising leader in the application of artificial intelligence to urologic oncology, with a primary focus on improving surgical outcomes for prostate cancer patients. Her most-cited work, published in 2024, pioneers the use of machine learning models for pre-operative risk assessment of extracapsular extension (ECE) before radical prostatectomy. By developing predictive algorithms that integrate clinical and imaging data, Dr. Konidari’s research directly addresses a critical surgical dilemma: determining the extent of cancer spread prior to surgery. Her key contribution lies in demonstrating that decision curve analysis (DCA) offers superior clinical utility over traditional ROC metrics for evaluating these models, providing surgeons with a more actionable tool to avoid unnecessary nerve-sparing procedures or incomplete resections. This work has already garnered 11 citations in under a year, signaling its rapid adoption by the surgical oncology community. Dr. Konidari’s research bridges the gap between complex computational methods and real-world clinical decision-making, positioning her as a key figure in the movement toward personalized, data-driven surgical planning for prostate cancer patients.