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Text-to-video generative artificial intelligence: sora in neurosurgery.

Ali A Mohamed1,2, Brandon Lucke-Wold3

  • 1Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA. amohamed2020@health.fau.edu.

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Generative AI, like Sora, shows promise for neurosurgery applications such as training and patient education. However, current limitations and ethical concerns require further investigation before widespread adoption in neurosurgery.

Keywords:
ChatGPTComputer visionLarge language modelsPatient educationTrainingVirtual reality

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Area of Science:

  • Neurosurgery
  • Artificial Intelligence
  • Generative AI

Background:

  • Artificial intelligence (AI) is increasingly utilized in neurosurgery.
  • Generative AI, particularly Large Language Models (LLMs) like ChatGPT, has garnered significant interest.
  • Recent advancements include text-to-video models like Sora, utilizing NLP, deep learning, and computer vision.

Approach:

  • Sora generates videos from text prompts, offering potential applications in neurosurgery.
  • These applications include patient education, public health, surgical training and planning, and research dissemination.
  • The study explores the capabilities and limitations of Sora in the neurosurgical context.

Key Points:

  • Sora's potential benefits for neurosurgery are significant.
  • Current limitations include physically implausible motion, spontaneous subject generation, object morphing, inaccurate interactions, and abnormal behavior.
  • Ethical considerations such as patient privacy and bias are also critical concerns.

Conclusions:

  • Despite current challenges, generative AI video tools like Sora may offer substantial benefits to the neurosurgical community.
  • Further research is needed to evaluate the effectiveness of generated videos compared to non-generated ones.
  • Addressing limitations and ethical issues is crucial for the responsible integration of this technology in neurosurgery.