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The Innovation Medicine > 2024 Vol. 2 > No. 1 > 100058
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Technical roadmap towards trustworthy large-scale models in medicine

  • 1.

    University of Electronic Science and Technology of China, Chengdu 611731, China

  • 2.

    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

  • 3.

    Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China

  • 4.

    Hong Kong Polytechnic University, Shenzhen Research Institute, Shenzhen 518000, China

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The Innovation Medicine  2(1),  https://doi.org/10.59717/j.xinn-med.2024.100058  |  Cite this article
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    • REFERENCES
  • [1] Huang, T., Xu, H., Wang, H., et al. (2023). Artificial intelligence for medicine: Progress, challenges, and perspectives. The Innovation Medicine 1: 100030. DOI: 10.59717/j.xinn-med.2023.100030.

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    [2] Thirunavukarasu, A.J., Ting, D.S.J., Elangovan, K., et al. (2023). Large language models in medicine. Nat. Med. 29: 1930−1940. DOI: 10.1038/s41591-023-02448-8.

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    [4] Huang, H., Zheng, O., Wang, D., et al. (2023). ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model. Int. J. Oral. Sci. 15: 29. DOI: 10.1038/s41368-023-00239-y.

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  • Cite this article:

    Yang J., Ding Q., Tian J., et al., (2024). Technical roadmap towards trustworthy large-scale models in medicine. The Innovation Medicine 2(1): 100058. https://doi.org/10.59717/j.xinn-med.2024.100058
    Yang J., Ding Q., Tian J., et al., (2024). Technical roadmap towards trustworthy large-scale models in medicine. The Innovation Medicine 2(1): 100058. https://doi.org/10.59717/j.xinn-med.2024.100058

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