The performance of the multimodal large language model GPT-4 on the European board of radiology examination sample test
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11604-024-01565-9.pdf
Reference4 articles.
1. Nakaura T, Yoshida N, Kobayashi N, 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(2):190–200. https://doi.org/10.1007/s11604-023-01487-y.
2. Lecler A, Duron L, Soyer P. Revolutionizing radiology with GPT-based models: current applications, future possibilities and limitations of ChatGPT. Diagn Interv Imaging. 2023;104(6):269–74. https://doi.org/10.1016/j.diii.2023.02.003.
3. Almeida LC, Farina EMJM, Kuriki PEA, Abdala N, Kitamura FC. Performance of ChatGPT on the Brazilian radiology and diagnostic imaging and mammography board examinations. Radiol Artif Intell. 2024;6(1): e230103. https://doi.org/10.1148/ryai.230103.
4. Bhayana R, Krishna S, Bleakney RR. Performance of ChatGPT on a radiology board-style examination: insights into current strengths and limitations. Radiology. 2023;307(5): e230582. https://doi.org/10.1148/radiol.230582.
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Response to Letter to the Editor from Partha Pratim Ray: ‘Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations’;Japanese Journal of Radiology;2024-07-13
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”;Japanese Journal of Radiology;2024-05-02
3. Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations;Japanese Journal of Radiology;2024-04-22
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