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February 8, 20260 citationsOpen Access

Integration of Generative Artificial Intelligence in Urological Practice

Integration of Generative Artificial Intelligence into Urological Practice: A Cross‐Sectional Survey Analysis from the EAU Endourology

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Authors

CSCatalina Prieto SolanoNTNick TarazonaVGVineet Gauhar

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Overview

Cross-sectional survey analyzes generative AI usage in urology, suggesting the need for improved training.

Key Points

  • The study aims to investigate how urology professionals are adopting generative AI, focusing on usage patterns and barriers.
  • Cross-sectional survey design with an expert panel.
  • Collected responses from 243 urology professionals internationally.
  • Explored usage patterns, benefits, and perceived barriers.
  • 53% of respondents reported prior experience using AI tools in clinical practice.
  • Patient education is the most favored application, noted by 55% of respondents.
  • 82% expressed concerns about the technical reliability of generative AI.

Cite This Study

Solano et al. (2025) studied this question.

synapsesocial.com/papers/6988291e0fc35cd7a88492bahttps://doi.org/10.5167/uzh-290625
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