• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用人工智能塑造的美学理想乳房:验证文献、种族差异及深度伪造技术

Aesthetically Ideal Breasts Created With Artificial Intelligence: Validating the Literature, Racial Differences, and Deep Fakes.

作者信息

Wiegmann Aaron L, O'Neill Elizabeth S, Sinno Sammy, Gutowski Karol A

出版信息

Aesthet Surg J Open Forum. 2024 Jan 30;6:ojae006. doi: 10.1093/asjof/ojae006. eCollection 2024.

DOI:10.1093/asjof/ojae006
PMID:38501038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10945710/
Abstract

BACKGROUND

A female's breasts are integrally tied to her identity and sense of femininity. Despite extensive study of breast aesthetics, there is no discrete formula for the "ideal breast" to guide the aesthetic surgeon. Racial and cultural differences heavily influence preferences in breast morphology. Artificial intelligence (AI) is ubiquitous in modern culture and may aid in further understanding ideal breast aesthetics.

OBJECTIVES

This study analyzed AI-generated images of aesthetically ideal breasts, evaluated for morphologic differences based on race, and compared findings to the literature.

METHODS

An openly accessible AI image-generator platform was used to generate images of aesthetically ideal Caucasian, African American, and Asian breasts in 3-quarter profile and frontal views using simple text prompts. Breast measurements were obtained and compared between each racial cohort and to that of previously described ideal breast parameters.

RESULTS

Twenty-five images were analyzed per racial cohort, per pose (150 total). Caucasian breasts were observed to fit nicely into previously described ideal breast templates. However, upper-to-lower pole ratios, nipple angles, upper pole slope contours, nipple-areolar complex positions, and areolar size were observed to have statistically significant differences between racial cohorts.

CONCLUSIONS

Defining the aesthetically ideal breast remains a complex and multifaceted challenge, requiring consideration of racial and cultural differences. The AI-generated breasts in this study were found to have significant differences between racial groups, support several previously described breast ideals, and provide insight into current and future ethical issues related to AI in aesthetic surgery.

摘要

背景

女性的乳房与她的身份和女性气质紧密相连。尽管对乳房美学进行了广泛研究,但对于“理想乳房”并没有一个明确的公式来指导整形外科医生。种族和文化差异对乳房形态的偏好有很大影响。人工智能(AI)在现代文化中无处不在,可能有助于进一步理解理想的乳房美学。

目的

本研究分析了人工智能生成的美学上理想的乳房图像,评估基于种族的形态差异,并将结果与文献进行比较。

方法

使用一个公开可用的人工智能图像生成平台,通过简单的文本提示生成美学上理想的高加索人、非裔美国人和亚洲人的乳房的3/4侧视图和正视图图像。获取乳房测量数据,并在每个种族队列之间以及与先前描述的理想乳房参数进行比较。

结果

每个种族队列、每个姿势分析25张图像(共150张)。观察到高加索人的乳房很好地符合先前描述的理想乳房模板。然而,观察到种族队列之间的上下极比率、乳头角度、上极斜率轮廓、乳头乳晕复合体位置和乳晕大小存在统计学上的显著差异。

结论

定义美学上理想的乳房仍然是一个复杂且多方面的挑战,需要考虑种族和文化差异。本研究中人工智能生成的乳房在种族群体之间存在显著差异,支持了一些先前描述的乳房理想,并为美学手术中与人工智能相关的当前和未来伦理问题提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/547ff83de189/ojae006f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/b875c6d88c68/ojae006f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/e93f4b46f216/ojae006f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/becdb8346a1b/ojae006f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/22b7df291c35/ojae006f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/5d5067077641/ojae006f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/f86b4eca8337/ojae006f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/547ff83de189/ojae006f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/b875c6d88c68/ojae006f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/e93f4b46f216/ojae006f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/becdb8346a1b/ojae006f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/22b7df291c35/ojae006f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/5d5067077641/ojae006f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/f86b4eca8337/ojae006f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/167e/10945710/547ff83de189/ojae006f7.jpg

相似文献

1
Aesthetically Ideal Breasts Created With Artificial Intelligence: Validating the Literature, Racial Differences, and Deep Fakes.用人工智能塑造的美学理想乳房:验证文献、种族差异及深度伪造技术
Aesthet Surg J Open Forum. 2024 Jan 30;6:ojae006. doi: 10.1093/asjof/ojae006. eCollection 2024.
2
The rule of thirds: Determining the ideal areolar proportions.三分法则:确定理想的乳晕比例。
JPRAS Open. 2019 Nov 13;23:55-59. doi: 10.1016/j.jpra.2019.11.001. eCollection 2020 Mar.
3
The Aesthetically Ideal Position of the Nipple-Areola Complex on the Breast.乳房乳头乳晕复合体的美学理想位置。
Aesthetic Plast Surg. 2020 Aug;44(4):1130-1138. doi: 10.1007/s00266-020-01814-y. Epub 2016 Aug 5.
4
The Aesthetically Ideal Position of the Nipple-Areola Complex on the Breast.乳头乳晕复合体在乳房上的美学理想位置。
Aesthetic Plast Surg. 2016 Oct;40(5):724-32. doi: 10.1007/s00266-016-0684-z. Epub 2016 Aug 5.
5
How Useful Is the SSN-Nipple Distance? An Analytical Questionnaire Survey on Anthropometric Measurements for the Aesthetically Ideal Positioning of the Nipple-Areolar Complex.社会安全号码与乳头距离有何用处?一项关于人体测量学的分析问卷调查,旨在确定乳头乳晕复合体美学理想定位的相关测量指标。
J Clin Med. 2023 Mar 25;12(7):2494. doi: 10.3390/jcm12072494.
6
Breast Aesthetic Preferences: Analysis of 1294 Surveys.乳房美学偏好分析:1294 份调查研究
Aesthetic Plast Surg. 2021 Oct;45(5):2088-2093. doi: 10.1007/s00266-021-02253-z. Epub 2021 Apr 5.
7
The "Smile Mastopexy": A Novel Technique to Aesthetically Address the Excess Skin Envelope in Large, Ptotic Breasts While Preserving Nipple Areolar Complex During Prosthetic Breast Reconstruction.“微笑乳房上提术”:一种在假体乳房重建中保留乳头乳晕复合体的同时解决大而下垂乳房多余皮肤包被的新方法。
Aesthet Surg J. 2022 May 18;42(6):NP393-NP403. doi: 10.1093/asj/sjac021.
8
Differential preferences in breast aesthetics by self-identified demographics assessed on a national survey.基于全国性调查评估的自我认同人口统计学的乳房美学的差异偏好。
J Plast Reconstr Aesthet Surg. 2024 Mar;90:60-66. doi: 10.1016/j.bjps.2024.01.002. Epub 2024 Feb 1.
9
Concepts in aesthetic breast dimensions: analysis of the ideal breast.美学乳房尺寸概念:理想乳房分析。
J Plast Reconstr Aesthet Surg. 2012 Jan;65(1):8-16. doi: 10.1016/j.bjps.2011.08.006. Epub 2011 Aug 24.
10
Beyond the 21-cm Notch-to-nipple Myth: Golden Proportions in Breast Aesthetics.超越21厘米“乳沟至乳头”神话:乳房美学中的黄金比例
Plast Reconstr Surg Glob Open. 2021 Oct 25;9(10):e3826. doi: 10.1097/GOX.0000000000003826. eCollection 2021 Oct.

引用本文的文献

1
Evaluating Surgical Results in Breast Cancer with Artificial Intelligence.利用人工智能评估乳腺癌手术结果
Aesthetic Plast Surg. 2025 May 27. doi: 10.1007/s00266-025-04915-8.
2
Role of Artificial Intelligence in Determining Ideal Nasal Tip Projection in Diverse Populations.人工智能在确定不同人群理想鼻尖突出度中的作用
Plast Reconstr Surg Glob Open. 2024 Nov 21;12(11):e6330. doi: 10.1097/GOX.0000000000006330. eCollection 2024 Nov.

本文引用的文献

1
Aesthetic Plastic Surgery National Databank Statistics 2022.2022年美容整形外科学会国家数据库统计数据
Aesthet Surg J. 2023 Dec 20;43(Suppl 2):1-19. doi: 10.1093/asj/sjad354.
2
Cosmetic Surgery and the Diversity of Cultural and Ethnic Perceptions of Facial, Breast, and Gluteal Aesthetics in Women: A Comprehensive Review.美容手术与女性对面部、乳房和臀部美学的文化及种族认知多样性:一项综述
Clin Cosmet Investig Dermatol. 2023 Jun 7;16:1443-1456. doi: 10.2147/CCID.S410621. eCollection 2023.
3
Aesthetic Characteristics of the Ideal Female Breast.
理想女性乳房的美学特征。
Plast Reconstr Surg Glob Open. 2023 Jan 20;11(1):e4770. doi: 10.1097/GOX.0000000000004770. eCollection 2023 Jan.
4
A Systematic Review of Artificial Intelligence Applications in Plastic Surgery: Looking to the Future.整形手术中人工智能应用的系统评价:展望未来
Plast Reconstr Surg Glob Open. 2022 Dec 2;10(12):e4608. doi: 10.1097/GOX.0000000000004608. eCollection 2022 Dec.
5
A Machine Learning Approach to Identify Previously Unconsidered Causes for Complications in Aesthetic Breast Augmentation.一种用于识别美容隆胸并发症中先前未被考虑的原因的机器学习方法。
Aesthetic Plast Surg. 2022 Dec;46(6):2669-2676. doi: 10.1007/s00266-022-02997-2. Epub 2022 Jul 8.
6
BreastGAN: Artificial Intelligence-Enabled Breast Augmentation Simulation.乳房生成对抗网络:基于人工智能的隆胸模拟
Aesthet Surg J Open Forum. 2021 Dec 11;4:ojab052. doi: 10.1093/asjof/ojab052. eCollection 2022.
7
The Search for the Ideal Female Breast: A Nationally Representative United-States-Census Study.寻找理想的女性乳房:一项具有全国代表性的美国人口普查研究。
Aesthetic Plast Surg. 2022 Aug;46(4):1567-1574. doi: 10.1007/s00266-021-02753-y. Epub 2022 Jan 18.
8
Breast Aesthetic Preferences: Analysis of 1294 Surveys.乳房美学偏好分析:1294 份调查研究
Aesthetic Plast Surg. 2021 Oct;45(5):2088-2093. doi: 10.1007/s00266-021-02253-z. Epub 2021 Apr 5.
9
Photographic and Video Deepfakes Have Arrived: How Machine Learning May Influence Plastic Surgery.摄影和视频深度伪造已经出现:机器学习如何影响整形手术。
Plast Reconstr Surg. 2020 Apr;145(4):1079-1086. doi: 10.1097/PRS.0000000000006697.
10
The rule of thirds: Determining the ideal areolar proportions.三分法则:确定理想的乳晕比例。
JPRAS Open. 2019 Nov 13;23:55-59. doi: 10.1016/j.jpra.2019.11.001. eCollection 2020 Mar.