Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94305, USA.
Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, 801 Welch Road, Palo Alto, CA 94305, USA.
Otolaryngol Clin North Am. 2024 Oct;57(5):843-852. doi: 10.1016/j.otc.2024.05.002. Epub 2024 Jul 8.
Artificial intelligence (AI), particularly computer vision and large language models, will impact facial plastic and reconstructive surgery (FPRS) by enhancing diagnostic accuracy, refining surgical planning, and improving post-operative evaluations. These advancements can address subjective limitations of aesthetic surgery by providing objective tools for patient evaluation. Despite these advancements, AI in FPRS has yet to be fully integrated in the clinic setting and faces numerous challenges including algorithmic bias, ethical considerations, and need for validation. This article discusses current and emerging AI technologies in FPRS for the clinic setting, providing a glimpse of its future potential.
人工智能(AI),特别是计算机视觉和大型语言模型,将通过提高诊断准确性、完善手术计划和改进术后评估来影响面部整形和重建外科(FPRS)。这些进步可以通过为患者评估提供客观工具来解决美容手术的主观局限性。尽管有这些进步,但人工智能在 FPRS 中的应用尚未完全融入临床环境,并且面临着许多挑战,包括算法偏见、伦理问题和需要验证。本文讨论了 FPRS 中当前和新兴的人工智能技术,展望了其未来的潜力。