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Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?

Riccardo De Bernardis1, Rosa Salzillo2, Paolo Persichetti2

  • 1Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy. riccardo.debernardis@unicampus.it.

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Summary

Artificial intelligence (AI) enhances rhinoplasty planning with accurate outcome simulations. However, AI cannot predict individual healing, raising ethical concerns and necessitating its use as a supplement to surgical expertise.

Keywords:
Artificial intelligenceEthical concernsPatient expectationsRhinoplastySimulationSurgical planning

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Area of Science:

  • Plastic Surgery
  • Medical Artificial Intelligence
  • Computational Aesthetics

Background:

  • Artificial intelligence (AI) integration in rhinoplasty offers advanced preoperative planning through accurate postoperative outcome simulations.
  • AI models, including deep learning and generative adversarial networks (GANs), excel at predicting nasal shapes, learning surgical styles, and refining aesthetic planning.

Discussion:

  • AI predictions are limited by their inability to account for individual healing, tissue behavior, and long-term nasal remodeling.
  • Ethical considerations include potential bias in AI predictions, reinforcement of unrealistic beauty standards, and the psychological impact on patients.
  • Data privacy and medico-legal risks associated with managing patient expectations also require careful attention.

Key Insights:

  • AI significantly improves preoperative planning and patient communication in rhinoplasty via precise outcome simulations.
  • Despite advancements, AI is an imperfect predictor due to biological variability and ethical challenges.
  • AI should augment, not replace, surgeon expertise, emphasizing ethical practice and patient-centered care.

Outlook:

  • Future AI development should focus on incorporating patient-specific variables for more personalized predictions.
  • Balancing technological capabilities with ethical considerations is crucial for responsible AI implementation in rhinoplasty.
  • Continued research is needed to refine AI algorithms and address the medico-legal and psychological aspects of AI-assisted cosmetic surgery.