Kris Maes
Papers
20
Total Citations
317
H-Index
10
About
Dr. Kris Maes is a leading figure in urologic oncology, renowned for pioneering advancements in robot-assisted partial nephrectomy (RAPN) and the application of machine learning in surgical care. His research fundamentally compares surgical approaches, with his landmark 2018 multi-institutional study on retroperitoneal versus transperitoneal RAPN (81 citations) setting a new standard for procedural debate. Dr. Maes has been instrumental in leveraging large-scale databases like the Vattikuti Collective Quality Initiative, using them to develop predictive machine-learning models that forecast intra-operative and postoperative complications (28 citations). His work extends to critical clinical questions, including the impact of COVID-19 on minimally invasive surgery (43 citations) and optimizing outcomes for imperative versus elective indications. Notably, his recent focus on machine learning for prostate cancer, specifically predicting extracapsular extension from MRI data (14 citations), demonstrates his commitment to precision medicine. With over 250 total citations, Dr. Maes’s contributions are shaping safer, more effective surgical protocols and integrating artificial intelligence into the future of urologic oncology.
Research Focus
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