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Artificial intelligence in urology training: practical benefits and real-world limits

Stamatios Katsimperis1, Ioannis Kyriazis1, Panagiotis Neofytou1

  • 1Second Department of Urology, Sismanogleio Hospital, National and Kapodistrian University of Athens, Athens, Greece.

BJU International
|February 27, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artificial intelligencedigital healthlarge language modelsmedical educationsurgical educationurology residencyurology traineesurology training

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