Letter 1 regarding "Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma"
- PMID: 37211355
- PMCID: PMC10366805
- DOI: 10.3350/cmh.2023.0120
Letter 1 regarding "Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma"
Keywords: Artificial intelligence; Cirrhosis; Decision making; Emotional support; Hepatocellular carcinoma; Medical informatics.
Conflict of interest statement
The authors have no conflicts to disclose.
Comment in
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Correspondence on Letter 1 regarding "Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma".Clin Mol Hepatol. 2023 Jul;29(3):821-822. doi: 10.3350/cmh.2023.0183. Epub 2023 May 31. Clin Mol Hepatol. 2023. PMID: 37254486 Free PMC article. No abstract available.
Comment on
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Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma.Clin Mol Hepatol. 2023 Jul;29(3):721-732. doi: 10.3350/cmh.2023.0089. Epub 2023 Mar 22. Clin Mol Hepatol. 2023. PMID: 36946005 Free PMC article.
References
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- OpenAI. GPT-4. OpenAI web site, < https://openai.com/research/gpt-4>.
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- Brown TB, Mann B, Ryder N, Subbiah M, Kaplan J, Dhariwal P, et al. Language models are few-shot learners. arXiv 2005.14165 [Preprint]. 2020 [cited 2023 Mar 17]. Available from: - DOI
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- Raffel C, Shazeer N, Roberts A, Lee K, Narang S, Matena M, et al. Exploring the limits of transfer learning with a unified text-to-text transformer. J Mach Learn Res. 2020;21:5485–5551.
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- Li Q, Li P, Ren Z, Ren P, Chen Z. Knowledge bridging for empathetic dialogue generation. Proc AAAI Conf Artif Intell. 2022;36:10993–11001.
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