Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, San Francisco, California.
Division of Otolaryngology, Yale School of Medicine, New Haven, Connecticut, USA.
Curr Opin Otolaryngol Head Neck Surg. 2024 Aug 1;32(4):222-233. doi: 10.1097/MOO.0000000000000975. Epub 2024 Apr 19.
Arguably one of the most disruptive innovations in medicine of the past decade, artificial intelligence is dramatically changing how healthcare is practiced today. A systematic review of the most recent artificial intelligence advances in facial plastic surgery is presented for surgeons to stay abreast of the latest in our field.
Artificial intelligence applications developed for use in perioperative patient evaluation and management, education, and research in facial plastic surgery are highlighted. Selected themes include automated facial analysis with landmark detection, automated facial palsy grading and emotional assessment, generation of artificial facial profiles for testing and model training, automated postoperative patient communications, and improving ethnicity-sensitive facial morphometry norms. Inherent bias can exist in artificial intelligence models, and care must be taken to utilize algorithms trained with diverse datasets.
Artificial intelligence tools are helping clinicians provide more standardized, objective, and efficient care to their patients. Increasing surgeon awareness of available tools, and their widespread implementation into clinical workflows are the next frontier. Ethical considerations must also shape the adoption of any artificial intelligence functionality. As artificial intelligence applications become a fixture in medicine, surgeons must employ them effectively to stay at the vanguard of modern medicine.
人工智能无疑是过去十年医学领域最具颠覆性的创新之一，它正在极大地改变当今医疗实践的方式。本文对面部整形外科学中最新的人工智能进展进行了系统回顾，以便外科医生了解本领域的最新动态。
本文重点介绍了人工智能在面部整形外科学中的围手术期患者评估和管理、教育和研究中的应用。选定的主题包括具有标记检测的自动面部分析、自动面瘫分级和情感评估、用于测试和模型训练的人工面部轮廓生成、自动术后患者沟通以及改善种族敏感的面部形态计量学规范。人工智能模型中可能存在固有偏差，因此必须小心使用经过多样化数据集训练的算法。
人工智能工具正在帮助临床医生为患者提供更标准化、客观和高效的护理。提高外科医生对现有工具的认识，并将其广泛应用于临床工作流程，是下一个前沿领域。任何人工智能功能的采用都必须考虑到伦理问题。随着人工智能应用成为医学的固定组成部分，外科医生必须有效地利用它们，才能站在现代医学的前沿。
