Skip to main content
Log in

The R.E.N.A.L. nephrometry scoring from CT reports with ChatGPT: example with proofs

  • Letter to the Editor
  • Published:
Japanese Journal of Radiology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  1. Toyama Y, Harigai A, Abe M, Nagano M, Kawabata M, Seki Y, Takase K. Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society. Jpn J Radiol. 2023;4:1–7.

    Google Scholar 

  2. Parsons RB, Canter D, Kutikov A, Uzzo RG. RENAL nephrometry scoring system: the radiologist’s perspective. AJR Am J Roentgenol. 2012;199(3):W355–9.

    Article  PubMed  Google Scholar 

  3. Kutikov A, Uzzo RG. The R.E.N.A.L. nephrometry score: a comprehensive standardized system for quantitating renal tumor size, location and depth. J Urol. 2009;182(3):844–53.

    Article  PubMed  Google Scholar 

  4. Amin K, Khosla P, Doshi R, Chheang S, Forman HP. Artificial ıntelligence to ımprove patient understanding of radiology reports. Yale J Biol Med. 2023;96(3):407–17. https://doi.org/10.59249/NKOY5498. (Published 2023 Sep 29).

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

No funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ayşenur Topçu Varlık.

Ethics declarations

Conflict of interest

The authors have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Topçu Varlık, A., Kaba, E. & Burakgazi, G. The R.E.N.A.L. nephrometry scoring from CT reports with ChatGPT: example with proofs. Jpn J Radiol (2024). https://doi.org/10.1007/s11604-024-01573-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11604-024-01573-9

Navigation