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Artificial intelligence (AI) image generation, specifically diffusion models like Midjourney, can enhance 3D medical images. However, anatomic accuracy challenges require collaboration between AI developers and radiologists.

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Area of Science:

  • Medical imaging
  • Artificial intelligence
  • Diffusion models

Background:

  • AI-powered image generation offers potential for enhancing 3D medical images.
  • Diffusion models are currently standard for AI image enhancement.

Purpose of the Study:

  • Demonstrate Midjourney v5.2's capabilities for generating medical images.
  • Provide a practical guide for using text-to-image AI in medical contexts.

Main Methods:

  • Exploratory study of Midjourney principles, parameters, and prompt engineering.
  • Investigated image generation from July 27 to August 3, 2023.
  • Included step-by-step instructions for creating realistic medical images.

Main Results:

  • Generated 30 images (eye, skin, vascular aneurysm) with customizable characteristics via prompt engineering.
  • Anatomic fidelity was not consistently maintained due to training data limitations.
  • Shortcomings identified in generating precise details like digits or text.

Conclusions:

  • AI image generation can improve 3D medical images for specific applications.
  • Collaboration is crucial due to potential inaccuracies from non-medical training data.
  • Ethical and copyright considerations require ongoing attention.