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Simulation and Artificial Intelligence in Rhinoplasty: A Systematic Review.

Abdullah S Eldaly1, Francisco R Avila1, Ricardo A Torres-Guzman1

  • 1Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.

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Artificial intelligence (AI) and simulation models are transforming rhinoplasty. These technologies enhance preoperative planning, intraoperative decisions, and postoperative evaluations, improving aesthetic and functional outcomes.

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Area of Science:

  • Plastic Surgery
  • Medical Simulation
  • Artificial Intelligence

Background:

  • Rhinoplasty is a complex and popular cosmetic procedure with significant aesthetic and functional implications.
  • The integration of artificial intelligence (AI) and simulation systems is rapidly increasing in plastic surgery.
  • This review examines the applications of AI and simulation in rhinoplasty.

Purpose of the Study:

  • To explore the potential uses of AI and simulation models in rhinoplasty.
  • To review current advancements in AI and simulation for rhinoplasty.
  • To highlight the impact of these technologies on rhinoplasty practice.

Main Methods:

  • Systematic review methodology based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA).
  • Comprehensive search of five major electronic databases: PubMed, CINAHL, EMBASE, Scopus, and Web of Science.
  • Analysis of existing literature on AI and simulation applications in rhinoplasty.

Main Results:

  • Simulation models can predict nasal shape, guide implant selection, and create 3D facial reconstructions.
  • Machine learning and deep learning models are used to simulate surgical outcomes, predict rhinoplasty status, and analyze factors influencing facial attractiveness.
  • AI models demonstrated the ability to predict age reduction post-rhinoplasty, indicating a younger appearance.

Conclusions:

  • 3D simulation and AI models hold the potential to revolutionize both functional and aesthetic rhinoplasty.
  • Simulation systems offer benefits in preoperative planning, intraoperative decision-making, and postoperative assessment.
  • AI can automate challenging or time-consuming tasks for surgeons, enhancing efficiency and precision.