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. 2024 Aug;42(8):928.
doi: 10.1007/s11604-024-01577-5. Epub 2024 May 2.

Response to Letter to the Editor from Muhammed Said Beşler et al.: "The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test"

Takeshi Nakaura  1 , Toshinori Hirai  2
Affiliations

Response to Letter to the Editor from Muhammed Said Beşler et al.: "The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test"

Takeshi Nakaura et al. Jpn J Radiol. 2024 Aug.
No abstract available

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References

    1. Beşler MS. The performance of the multimodal large language model GPT-4 on the European board of radiology examination sample test. Jpn J Radiol [Internet]. 2024. https://doi.org/10.1007/s11604-024-01565-9 . - DOI - PubMed
    1. Nakaura T, Yoshida N, Kobayashi N, Shiraishi K, Nagayama Y, Uetani H, et al. Preliminary assessment of automated radiology report generation with generative pre-trained transformers: comparing results to radiologist-generated reports. Jpn J Radiol. 2024;42:190–200. - DOI - PubMed
    1. Ueda D, Kakinuma T, Fujita S, Kamagata K, Fushimi Y, Ito R, et al. Fairness of artificial intelligence in healthcare: review and recommendations. Jpn J Radiol. 2024;42:3–15. - DOI - PubMed
    1. Nakaura T, Ito R, Ueda D, Nozaki T, Fushimi Y, Matsui Y, et al. The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI. Jpn J Radiol [Internet]. 2024. https://doi.org/10.1007/s11604-024-01552-0 . - DOI - PubMed

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