From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future Perspectives

Sung-Jong Eun, Jong Mok Park, Yong Gil Na

Open source

DOI: 10.5213/inj.2652134.067
Published: 2026-05-31
Container: International Neurourology Journal
Publisher: Korean Continence Society
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.5213/inj.2652134.067,
  title = {From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future Perspectives},
  author = {Sung-Jong Eun and Jong Mok Park and Yong Gil Na},
  year = {2026},
  journal = {International Neurourology Journal},
  doi = {10.5213/inj.2652134.067},
  url = {https://doi.org/10.5213/inj.2652134.067}
}

RIS

TY  - JOUR
TI  - From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future Perspectives
AU  - Sung-Jong Eun
AU  - Jong Mok Park
AU  - Yong Gil Na
PY  - 2026
JO  - International Neurourology Journal
DO  - 10.5213/inj.2652134.067
UR  - https://doi.org/10.5213/inj.2652134.067
ER  -

APA

Eun, S., Park, J. M., & Na, Y. G. (2026). From Machine Learning to Generative Artificial Intelligence in Urology: Technological Evolution and Future Perspectives. International Neurourology Journal. https://doi.org/10.5213/inj.2652134.067

Source records

crossref · retrieved 2026-09-25T21:33:24.561Z