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Concerns with OpenAI’s Sora in Medicine

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Abstract

Open AI’s Sora represents a ground-breaking innovation in AI that can generate lifelike and imaginative visual scenes based on text prompts. However, Sora has also produced some new concerns surrounding artificial video generation in medicine. While Sora is highly promising to enhance patient education, facilitate remote consultations and simulate surgical procedures, AI-generated videos also bring technical, legal, and ethical challenges. In this paper, we explore the clinical and ethical implications of Sora’s AI-generated videos in the field of medicine.

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References

  1. Waisberg, E., et al. Automated ophthalmic imaging analysis in the era of generative pre-trained transformer-4. Pan Am J Ophthalmol. 5:46, 2023.

    Article  Google Scholar 

  2. Masalkhi, M., J. Ong, E. Waisberg, and A. G. Lee. Google DeepMind’s gemini AI versus ChatGPT: a comparative analysis in ophthalmology. Eye. 2024. https://doi.org/10.1038/s41433-024-02958-w.

    Article  PubMed  Google Scholar 

  3. Waisberg, E., J. Ong, M. Masalkhi, and A. G. Lee. Large language model (LLM)-driven chatbots for neuro-ophthalmic medical education. Eye. 2023. https://doi.org/10.1038/s41433-023-02759-7.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Wang, G., Yang, G., Du, Z., Fan, L. & Li, X. ClinicalGPT: Large language models finetuned with diverse medical data and comprehensive evaluation. (2023) doi:https://doi.org/10.48550/ARXIV.2306.09968.

  5. Masalkhi, M., et al. Large language models for post-operative guidance in refractive surgery. AME Surg J. 4:2–2, 2024.

    Article  Google Scholar 

  6. Sora: Creating video from text. https://openai.com/sora.

  7. Li, H.O.-Y., A. Bailey, D. Huynh, and J. Chan. YouTube as a source of information on COVID-19: a pandemic of misinformation? BMJ Glob Health.5:e002604, 2020.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Paladugu, P. S., et al. Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence. Ann Biomed Eng. 2023. https://doi.org/10.1007/s10439-023-03304-z.

    Article  PubMed  Google Scholar 

  9. Alser, M., and E. Waisberg. Concerns with the usage of ChatGPT in Academia and Medicine: A viewpoint. American Journal of Medicine Open. 2023. https://doi.org/10.1016/j.ajmo.2023.100036.

    Article  Google Scholar 

  10. Waisberg, E., et al. Challenges of artificial intelligence in space medicine. Space: Science & Technology. 2022:1–7, 2022.

    Google Scholar 

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Correspondence to Ethan Waisberg.

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The authors have not disclosed any competing interests.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Waisberg, E., Ong, J., Masalkhi, M. et al. Concerns with OpenAI’s Sora in Medicine. Ann Biomed Eng (2024). https://doi.org/10.1007/s10439-024-03505-0

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  • DOI: https://doi.org/10.1007/s10439-024-03505-0

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