Artificial intelligence in urology training
The emergence of AI use in urologic procedures underscores its transformative potential in procedural education and training. AI has wide applications in annotation, feedback, and assessment across different procedures. While prostatectomy dominates in the literature, the adaptability of AI frameworks exists across other urologic procedures. New commercially available tools demonstrate promising results, making them potentially beneficial additions to urology training programs. Future efforts should focus on multicentric collaboration and longitudinal skill assessments.
Authors
- Long He (ORCID: https://orcid.org/0000-0003-4721-9221)
- Kofi Brako
- Jackie Han
- Edward D. Matsumoto
- Ankit Parmar
Institutions
- St. Joseph Hospital (US)
- Queen's University (CA)
- St. Joseph’s Healthcare Hamilton (CA)
- McMaster University (CA)
Publication Details
- Journal
- Canadian Urological Association Journal
- Published
- 2026-02-13
- DOI
- https://doi.org/10.5489/cuaj.9477
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 0.00