From Aphrodite to Algorithm: Assessing the Unassessable.

IF 1 4区 医学 Q3 SURGERY
Kun Hwang
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Abstract

This paper explores the evolving efforts to quantify beauty, tracing its path from mythological ideals to modern algorithms. Inspired by the legendary face of Helen of Troy-the mortal echo of Aphrodite-whose beauty "launched a thousand ships," the authors interrogate whether beauty, once considered divine and ineffable, can now be assessed with scientific precision. Historical attempts to define beauty, from Polykleitos's canon to the golden ratio and Vitruvian symmetry, have shaped artistic and medical ideals. In plastic surgery, these concepts have been further formalized through cephalometric analyses and surgical guidelines. Contemporary tools, including the Marquardt Phi Mask, facial attractiveness scores, and deep learning models like those trained on SCUT-FBP5500, promise objective evaluations of beauty. Yet these algorithmic assessments-often validated through human raters or crowd-sourced platforms-reveal troubling limitations. They risk homogenizing aesthetic standards, marginalizing ethnic variation, and fostering unrealistic expectations in patients influenced by augmented reality filters and AI-driven ideals. While these metrics aid in reconstructive and aesthetic planning, they cannot encompass the cultural, emotional, or historical depth that beauty represents. The plastic surgeon now navigates between myth and machine, caught between ancient archetypes and algorithmic precision. Helen becomes not just a metaphor but a measurement-a reminder that beauty can be sought, approximated, even modified, but not fully captured. This paper argues that while measurement has its place, beauty ultimately resists full quantification. Between Aphrodite and algorithm lies the responsibility to treat not only form, but meaning-with empathy, imagination, and humility.

从阿佛洛狄忒到算法:评估不可评估的。
本文探讨了量化美的不断发展的努力,追踪其从神话理想到现代算法的路径。特洛伊的海伦是阿芙罗狄忒的凡人回声,她的美丽“发动了一千艘船”,受到传说中海伦的脸的启发,作者质疑,曾经被认为是神圣和不可形容的美,现在是否可以用科学的精确来评估。历史上对美的定义的尝试,从波利克莱托斯的经典到黄金比例和维特鲁威对称,塑造了艺术和医学的理想。在整形外科中,这些概念通过头侧测量分析和手术指南进一步规范化。当代工具,包括马夸特Phi面具,面部吸引力评分,以及在SCUT-FBP5500上训练的深度学习模型,都承诺对美丽进行客观评估。然而,这些算法评估——通常通过人工评分或众包平台进行验证——暴露出令人不安的局限性。它们有可能使审美标准同质化,使种族差异边缘化,并在受增强现实过滤器和人工智能驱动的理想影响的患者中培养不切实际的期望。虽然这些指标有助于重建和美学规划,但它们不能包含美所代表的文化、情感或历史深度。整形外科医生现在游走在神话和机器之间,夹在古老的原型和精确的算法之间。海伦不仅是一个隐喻,而且是一种衡量标准——提醒我们,美可以被寻找、近似、甚至修饰,但无法被完全捕捉。本文认为,虽然测量有它的位置,美最终抵制充分量化。在阿芙罗狄蒂和算法之间,有责任不仅要对待形式,还要对待意义——要有同理心、想象力和谦逊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
11.10%
发文量
968
审稿时长
1.5 months
期刊介绍: ​The Journal of Craniofacial Surgery serves as a forum of communication for all those involved in craniofacial surgery, maxillofacial surgery and pediatric plastic surgery. Coverage ranges from practical aspects of craniofacial surgery to the basic science that underlies surgical practice. The journal publishes original articles, scientific reviews, editorials and invited commentary, abstracts and selected articles from international journals, and occasional international bibliographies in craniofacial surgery.
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