Shohreh Ghasemi, Mahmood Dashti

Artificial Intelligence and Deep Learning in Preservation Rhinoplasty: A Review

  • General Earth and Planetary Sciences
  • General Environmental Science

Study Design: This review explores the potential applications of artificial intelligence (AI) and deep learning in preservation rhinoplasty. Preservation rhinoplasty is a surgical technique that aims to enhance the aesthetic appearance of the nose while preserving its natural structures and functions. Artificial intelligence and deep learning offer new avenues for improving surgical planning, intraoperative guidance, and postoperative analysis in this specialized field. Objective: The objective of this review is to examine how AI and deep learning can enhance preservation rhinoplasty by providing tools for precise surgical planning, real-time guidance during surgery, and comprehensive postoperative analysis. Methods: The review synthesizes information from relevant studies and articles in the field of rhinoplasty, AI, and deep learning. It discusses the potential benefits and challenges associated with the integration of AI into preservation rhinoplasty, drawing from the literature and expert insights. Results: The review highlights several key findings: Surgical Planning: Artificial intelligence can analyze preoperative imaging data to assist surgeons in planning the procedure accurately. It can predict postoperative outcomes and enhance discussions with patients. Intraoperative Guidance: Artificial intelligence can provide real-time guidance to surgeons, ensuring the preservation of natural nasal structures during surgery. Postoperative Analysis: Artificial intelligence can automate the analysis of postoperative images and patient-reported outcomes, aiding in assessing surgical success and patient satisfaction. Challenges and Ethical Considerations: The integration of AI in preservation rhinoplasty should prioritize patient safety, ethical considerations, and validation to ensure its effectiveness. Conclusions: Artificial intelligence has the potential to greatly impact the field of preservation rhinoplasty. Using advanced algorithms and machine learning techniques, AI can assist surgeons in analyzing patient data, predicting outcomes, and optimizing surgical techniques. This technology can help improve surgical precision, reduce complications, and enhance patient satisfaction. However, it is important to note that AI should be seen as a tool to support and enhance the surgeon’s expertise rather than replacing human judgment and experience. As AI continues to evolve, it is crucial for surgeons to stay updated with the latest advancements and incorporate them judiciously into their practice to achieve the best possible outcomes for their patients.

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