Mitchell G Goldenberg

Assistant Professor of Clinical Urology

Image of Mitchell G Goldenberg
Is this your profile? Click to edit

Overview

Dr. Goldenberg is an Assistant Professor of Clinical Urology at the Keck School of Medicine of USC. He obtained his medical degree at St. George’s, University of London in London, England before completing his urology residency at the University of Toronto in Toronto, Canada. During residency, he participated in the Surgeon Scientist Training Program, completing a PhD in Surgical Education. His research focuses on the assessment of surgical skills and studying the role of artificial intelligence as a tool in medical education and patient safety. He completed a fellowship in Female Pelvic Medicine and Reconstructive Surgery (FPMRS) at the University of Southern California (USC). He specializes in the treatment of functional pelvic floor disorders in both men and women, including urinary incontinence, overactive bladder, pelvic organ prolapse, pelvic pain, urogenital fistula disease, fecal incontinence, a neurological disorders of the lower urinary tract. He is trained in many innovative surgical techniques, including robotic surgery and sacral neuromodulation. He is an active member of the American Urological Association (AUA), the American Urogynecologic Society (AUGS), and the Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction (SUFU).

Education and Training

  • St. George's, University of London, London, UK — MBBS — 07/2012 — Medicine
  • University of Toronto, Toronto, Canada — PhD — 06/2019 — Surgical Education
  • University of Toronto, Toronto, Canada — FRCSC — 06/2021 — Urology (Residency)
  • University of Southern California, Los Angeles, California — 06/2023 — Female Pelvic Medicine and Reconstructive Surgery

Publications

  • Response to comment on ‘Artificial intelligence-based approaches to augmenting and automating surgical training’. BJU Int. 2026 Jun 29.. View in PubMed
  • The future of robotic surgery in the age of artificial intelligence. Nat Rev Urol. 2026 May 08.. View in PubMed
  • Artificial intelligence-based approaches to augmenting and automating surgical training. BJU Int. 2026 06; 137(6):941-948.. 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
  • Editorial Comment. J Urol. 2025 Apr; 213(4):510-511.. View in PubMed
  • Competency in Robotic Surgery: Standard Setting for Robotic Suturing Using Objective Assessment and Expert Evaluation. J Surg Educ. 2024 03; 81(3):422-430.. View in PubMed
  • Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study. J Endourol. 2024 Aug; 38(8):884-891.. View in PubMed
  • Criteria for enhancing reporting of perioperative transfusions in surgical and anaesthesiological studies. Br J Surg. 2023 11 09; 110(12):1655-1658.. View in PubMed
  • Surgical Artificial Intelligence in Urology: Educational Applications. Urol Clin North Am. 2024 Feb; 51(1):105-115.. View in PubMed
  • A Multi-institution Study on the Association of Virtual Reality Skills with Continence Recovery after Robot-assisted Radical Prostatectomy. Eur Urol Focus. 2023 11; 9(6):1044-1051.. View in PubMed