The long but necessary road to responsible use of large language models in healthcare research
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41746-024-01180-y.pdf
Reference15 articles.
1. Thirunavukarasu, A. J. et al. Large language models in medicine. Nat. Med. 29, 1930–1940 (2023).
2. Srigley, J. R. et al. Standardized synoptic cancer pathology reporting: a population-based approach. J. Surg. Oncol. 99, 517–524 (2009).
3. Huang, J. et al. A critical assessment of using ChatGPT for extracting structured data from clinical notes. NPJ Digit. Med. 7, 106 (2024).
4. Zhang, Y. et al. Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. arXiv.org https://arxiv.org/abs/2309.01219v2 (2023).
5. Ferrara, E. Should ChatGPT be biased? Challenges and risks of bias in large language models. FM https://doi.org/10.5210/fm.v28i11.13346 (2023).
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