Beyond the hype: Unveiling the challenges of large language models in urology

Authors

  • Jethro C.C. Kwong University of Toronto
  • David-Dan Nguyen University of Toronto
  • Adree Khondker University of Toronto
  • Tiange Li University of Toronto

DOI:

https://doi.org/10.5489/cuaj.8987

Keywords:

LLM, AI, machine learning, residency training, Royal College

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Published

2024-09-27

How to Cite

Kwong, J. C. ., Nguyen, D.-D. ., Khondker, A. ., & Li, T. . (2024). Beyond the hype: Unveiling the challenges of large language models in urology. Canadian Urological Association Journal, 18(10), 333–4. https://doi.org/10.5489/cuaj.8987

Issue

Vol. 18 No. 10 (2024): CUAJ October

Section

Commentary

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