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

  • Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature. Diagnostics (Basel). 2023 Sep 27; 13(19).. View in PubMed
  • Generative Artificial Intelligence in Health Care. J Urol. 2023 11; 210(5):723-725.. View in PubMed
  • Three-Dimensional Customized Imaging Reconstruction for Urological Surgery: Diffusion and Role in Real-Life Practice from an International Survey. J Pers Med. 2023 Sep 26; 13(10).. View in PubMed
  • Framework for a living systematic review and meta-analysis for the surgical treatment of bladder cancer: introducing EVIglance to urology. Int J Surg Protoc. 2023 Oct; 27(2):9-15.. View in PubMed
  • Reply to Laura E. Davis, Adam Calaway, and Laura Bukavina’s Letter to the Editor re: Nima Nassiri, Giovanni Cacciamani, Inderbir S. Gill. Robotic Bladder Auto-transplantation in a Heart-beating Brain-dead Human Research Donor. Eur Urol. 2023;84:517-518.. View in PubMed
  • Recurrent Gleason Score 6 Prostate Cancer After Radiotherapy or Ablation: Should We Observe Them All? Results from a Large Multicenter Salvage Radical Prostatectomy Consortium. Eur Urol Focus. 2024 May; 10(3):461-468.. View in PubMed
  • Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases. Urol Clin North Am. 2024 Feb; 51(1):131-161.. View in PubMed
  • Robotic Bladder Autotransplantation: Preclinical Studies in Preparation for First-in-human Bladder Transplant. J Urol. 2023 10; 210(4):600-610.. View in PubMed
  • Reply by Authors. Urol Pract. 2023 09; 10(5):445.. View in PubMed
  • The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics. Urol Clin North Am. 2024 Feb; 51(1):1-13.. View in PubMed