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.

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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
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article

Artificial intelligence in urology training

Long He, Kofi Brako, Jackie Han, Edward D. Matsumoto et al.
Canadian Urological Association Journal
Surgical Simulation and Training
article

Artificial intelligence in urology training

Long He, Kofi Brako, Jackie Han, Edward D. Matsumoto, Ankit Parmar
article en

Abstract

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.

Canadian Urological Association JournalVol. 20(6)
St. Joseph Hospital (US), Queen's University (CA), St. Joseph’s Healthcare Hamilton (CA), McMaster University (CA)
Quality Education
Openalex Percentile: Top 55%
Surgical Simulation and Training
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