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About

Alexander Haese is an emerging researcher at the intersection of urological surgery and artificial intelligence, with a particular focus on robot-assisted radical prostatectomy (RARP) and the evolving landscape of minimally invasive surgical technologies. His work addresses some of the most pressing challenges in modern urology, including optimizing surgical outcomes and improving patient quality of life following prostate cancer treatment. Haese's most cited contribution, "The current landscape of single-port robotic surgery in urology" (2025, 22 citations), positions him as a key voice in the rapidly advancing field of single-port robotics, a surgical approach that promises reduced invasiveness and faster patient recovery. Complementing this, his pioneering work on deep-learning-based outcome prediction from endoscopic surgical videos represents a significant step toward AI-augmented surgical planning. By developing models capable of predicting Early Urinary Continence following RARP, Haese is helping to bridge the gap between clinical data and individualized patient care. Though early in his citation trajectory, Haese's research reflects a forward-thinking approach that combines surgical expertise with machine learning innovation, making him a researcher to watch as AI continues to reshape urological practice.