Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'
- PMID: 38789910
- DOI: 10.1007/s11604-024-01594-4
Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'
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References
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- Beşler MS. The accuracy of large language models in RANZCR’s clinical radiology exam sample questions. Jpn J Radiol. 2024. https://doi.org/10.1007/s11604-024-01574-8 . (In Press). - DOI - PubMed
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- 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. https://doi.org/10.1007/s11604-023-01487-y . - DOI - PubMed
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- 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. 2024. https://doi.org/10.1007/s11604-024-01552-0 . (In Press). - DOI - PubMed - PMC
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- 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. https://doi.org/10.1007/s11604-023-01474-3 . - DOI - PubMed
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