Goran Arandjelović

Dr. Goran Arandjelović is a medical innovator and urologist whose career bridges the precision of clinical science with the transformative potential of artificial intelligence. With over fifteen years of experience at the renowned “Santi Giovanni e Paolo” Hospital in Venice, he has built a reputation as a forward-thinking clinician deeply engaged in advancing predictive and personalized medicine. His expertise spans minimally invasive urological surgery, andrology, and the development of algorithmic models that improve diagnostic accuracy and patient outcomes.

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Educated at the University of Padua, where he earned his Master’s Degree in Medicine and Surgery, Goran expanded his training through international residencies at the University Hospital of Münster and the Medical University of Aachen in Germany. He later earned his PhD in Urology and Andrology at the University of Niš, focusing on the use of low-intensity shockwave therapy in erectile dysfunction a field in which he remains an active researcher and speaker. His clinical and academic portfolio includes extensive experience with laparoscopic and reconstructive surgery, robotic-assisted techniques, and cross-disciplinary collaboration with data scientists and engineers.

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Over the past decade, Dr. Arandjelović has been among the first in Europe to explore the intersection of medical decision-making and AI. His early work, published in collaboration with international teams, applied machine learning algorithms to predict kidney and ureteral stone expulsion a pioneering study that anticipated the convergence of clinical reasoning and computational modelling. That research would later inspire the foundations of Salute Futura’s predictive healthcare engine, uniting algorithmic intelligence with real-world medical data.

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Within Salute Futura, Goran’s vision drives the company’s mission to transform healthcare through precision, speed, and safety. His blend of clinical expertise, scientific curiosity, and entrepreneurial drive defines the company’s human-centered approach to AI in medicine. He believes that the future of healthcare depends on systems that think alongside clinicians turning complexity into clarity and data into decisions that save lives.