Giovanni Cacciamani, MD

Associate Professor of Research Urology

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Overview

Dr Giovanni Cacciamani is a urologist and surgeon-scientist, recognized internationally for his contributions to oncological diseases, patient safety, and the integration of artificial intelligence (AI) into healthcare. He is an Associate Professor of Urology and Radiology Research at the University of Southern California (USC), USA and serves as the Director of the Artificial Intelligence Center for Surgical and Clinical Applications in Urology with cutting-edge research initiatives at the intersection of urology, technology, and clinical innovation.

Dr Cacciamani is also actively involved in shaping the future of AI and digital health in urology on a global scale. He chairs the Young Academic Urologists (YAU) UroTechnology and Digital Healthcare Group of the European Association of Urology (EAU), a role through which he promotes technological advancements and digital transformation in the field of Urology. He serves as Associate Editor for the Journal of Urology, for the section on Innovation and AI.

His dedication to healthcare innovation has been widely recognized. In 2022, he was honored as Citizen of the Year (Italy) for his pioneering work in medical technology, and he received the Italian Matula Award, the most prestigious recognition for the best Italian urologist under 40.

Dr Cacciamani has authored about 400 scientific publications (H-Index 43 – Scopus 05/2026) and has delivered over 250 lectures worldwide on emerging technologies, AI, and digital medicine applications in urology. His lab at USC is currently exploring the potential of Generative AI (GAI) in healthcare, focusing on making AI more accessible and practical for practicing physicians. With a deep commitment to bridging technology and clinical practice, Dr Cacciamani goal is conducting innovative research and education efforts, shaping the future of AI-driven urology and digital healthcare worldwide.

Publications

  • Surgical Management of Nonmetastatic Renal Cell Carcinoma with Inferior Vena Cava Thrombus: A Systematic Review and Network Meta-analysis. Eur Urol Oncol. 2026 Jun; 9(3):660-672.. View in PubMed
  • Impact of cumulative smoking exposure on morbidity after robot-assisted radical cystectomy. BJU Int. 2026 04; 137(4):684-689.. View in PubMed
  • Author Correction: Metaverse in surgery – origins and future potential. Nat Rev Urol. 2026 Jan; 23(1):64.. View in PubMed
  • Harnessing Artificial Intelligence for Risk Stratification and Outcome Prediction in Urologic Cancers: A Systematic Review. Eur Urol Focus. 2025 Dec 17.. View in PubMed
  • Readability Optimization of Layperson Summaries in Urological Oncology Clinical Trials: Outcomes from the BRIDGE-AI 8 Study. Curr Oncol. 2025 Dec 10; 32(12).. View in PubMed
  • Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when? NPJ Digit Med. 2025 Nov 07; 8(1):646. Huo B, Collins GS, Cacciamani GE , Guyatt G . . View in PubMed
  • Intraoperative use of artificial intelligence (AI) during endoscopic lithotripsy: a systematic review from EAU endourology. World J Urol. 2025 Oct 30; 43(1):649.. View in PubMed
  • AI-driven preoperative risk assessment in kidney cancer surgery: A comparative feasibility study of machine learning models. BJUI Compass. 2025 Oct; 6(10):e70080.. View in PubMed
  • A structured training curriculum for robot-assisted radical nephroureterectomy: a Delphi consensus study. BJU Int. 2025 Dec; 136(6):1114-1120.. View in PubMed
  • Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial. JCO Clin Cancer Inform. 2025 Sep; 9:e2500042.. View in PubMed