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The Surgeon's Digital Eye: Assessing Artificial Intelligence-generated Images in Breast Augmentation and Reduction.

Arsany Yassa1, Arya Akhavan1, Solina Ayad2

  • 1From Division of Plastic and Reconstructive Surgery, Rutgers New Jersey Medical School, Newark, N.J.

Plastic and Reconstructive Surgery. Global Open
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PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) image generation shows potential for plastic surgery consultations, but current models struggle with realistic nipple-areola complex visualization and diverse body types. Further development is needed before AI can fully replace patient photographs for surgical planning.

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Area of Science:

  • Plastic Surgery
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Public overestimation of artificial intelligence (AI) capabilities in plastic surgery outcomes.
  • Need to assess AI-generated image accuracy for breast augmentation and reduction.
  • Determine AI's utility in setting realistic surgical expectations.

Purpose of the Study:

  • Evaluate the accuracy and realism of AI-generated pre- and post-surgery images for breast augmentation and reduction.
  • Assess the clinical value of AI in plastic surgery consultations.
  • Compare the performance of different AI platforms (GetIMG, Leonardo, Perchance).

Main Methods:

  • Utilized AI platforms (GetIMG, Leonardo, Perchance) to create surgical images.
  • Evaluated images using 11 metrics by board-certified plastic surgeons and residents.
  • Categorized images based on realism and clinical value.
  • Excluded nipple-areolar complex images due to AI restrictions.

Main Results:

  • AI models demonstrated comparable realism and clinical value scores.
  • GetIMG showed superior surgical relevance compared to other models.
  • Healing and scarring prediction was a consistently underperforming metric across all models.
  • Some AI images were perceived as "cartoonish" with unrealistic skin textures.

Conclusions:

  • AI models show promise in predicting outcomes like breast size and volume.
  • Significant limitations include the absence of nipple-areola complex visualization and inconsistent representation of diverse body types and skin tones.
  • Current AI-generated images are not yet a substitute for actual patient photographs in consultations.