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ChatGPT and medicine: how AI language models are shaping the future and health related careers

Nature Biotechnology volume 41, pages 1657–1658 (2023)Cite this article

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ChatGPT holds transformative potential for medicine across clinical, research and educational domains.

Chatbot Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) large language model that has been developed by San Francisco–based OpenAI using natural language processing and trained on conversational data (reinforcement learning from human feedback) obtained from the internet1. With its human-like conversation abilities, ChatGPT caters to users of varying skill levels. It processes text prompts, generating relevant responses that can be fine-tuned with follow-up prompts as it learns from previous interactions. Since ChatGPT’s public release in November 2022, the medical community has shown increasing interest in this application because of its potential to enhance various aspects of healthcare.

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Acknowledgements

The authors received support from FAPESP – CC&T Centro de Ciencia, Tecnologia e Inovação project number 2021/11.905-0.

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Authors and Affiliations

  1. Radiation Medicine Program, Princess Margaret Cancer Centre–University Health Network, Toronto, Ontario, Canada

    Michael Yan

  2. Department of Radiology and Oncology, University of São Paulo Medical School, São Paulo, Brazil

    Giovanni G. Cerri & Fabio Y. Moraes

  3. Cancer Care and Epidemiology, Cancer Research Institute, Queen’s University, Kingston, Ontario, Canada

    Fabio Y. Moraes

  4. Division of Radiation Oncology, Kingston General Hospital, Queen’s University, Kingston, Ontario, Canada

    Fabio Y. Moraes

Authors
  1. Michael Yan
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  2. Giovanni G. Cerri
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  3. Fabio Y. Moraes
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Correspondence to Fabio Y. Moraes.

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Yan, M., Cerri, G.G. & Moraes, F.Y. ChatGPT and medicine: how AI language models are shaping the future and health related careers. Nat Biotechnol 41, 1657–1658 (2023). https://doi.org/10.1038/s41587-023-02011-3

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  • DOI: https://doi.org/10.1038/s41587-023-02011-3

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