由人工智能驱动的对一百万不同年龄段中国人面部毛孔粗大患病率及其与环境因素相关性的研究。

IF 2 4区 医学 Q3 DERMATOLOGY
Huanjun Zhou, Hang Xie, Liang Wu, JinYan Song, Zitao Ma, Danning Zeng, Xiaodi Wang, Su Shi, Yulan Qu, Yajun Luo, Xia Meng, Yue Niu, Haidong Kan, Jian Cao, Nadine Pernodet
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引用次数: 0

摘要

背景:毛孔粗大是最受关注的美容问题之一,尤其是在中国人当中。为了了解毛孔粗大的发生率和与美容的相关性,已经开展了许多小规模研究。然而,由于大规模研究在数据收集和处理方面存在差距,因此仍然缺乏人群层面的调查。由于近年来人工智能技术的发展,数以百万计的数据库可以随时得到处理和分析:在大数据能力的支持下,通过 "今天你看起来棒极了 "移动应用程序招募的逾百万中国参与者的毛孔状况揭示了一些新趋势。构建的评分模型与皮肤科医生的传统评分方法具有高度一致性。环境数据(天气、空气污染、夜间卫星光照)与毛孔严重程度相关:结果:两种评分系统的类内相关性很强,不同面部区域的类内相关系数从 0.79 到 0.92 不等。所有四个面部区域(脸颊、额头、鼻子和整体)的毛孔严重程度均存在统计学差异,其中脸颊的毛孔状况最为严重。有趣的是,中国男性的毛孔状况比女性更严重。多种环境因素与脸颊毛孔严重程度有很强的相关性,并在统计上进行了线性回归。具体来说,低温、低湿度和高日照的风险递增与颊部毛孔状况的恶化相关。虽然颊部毛孔严重程度与夜间光照之间的皮尔逊相关性较低,但代表性城市之间的比较表明,在地质相似的城市中,夜间光照越强,颊部毛孔状况越严重:我们的研究为面部毛孔评估展示了一个稳健可靠的人工智能模型。结论:我们的研究展示了面部毛孔评估中稳健可靠的人工智能模型,更重要的是,利用这种简便方法得出的见解在治疗毛孔粗大方面也具有重要的美容意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors.

Background: Enlarged pores are amidst one of the top cosmetic concerns, especially among Chinese. Many small-group studies have been conducted in understanding their prevalence and beauty relevance. Nonetheless, population-level investigations are still lacking because of gaps in data collection and processing of large-scale studies. Owing to the recent technological advancement enabled by artificial intelligence, databases on the scale of millions can be processed and analyzed readily.

Materials and methods: Powered by big data capabilities, revealed a number of novel trends on pore conditions among over-a-million Chinese participants recruited via the "You Look Great Today" mobile application. A scoring model was constructed, which demonstrated high consistency with conventional grading method from dermatologists. Environmental data (weather, air pollution, light at night satellite) were applied to correlate with pore severity.

Results: Intraclass correlations between the two scoring systems were strong, with coefficients ranging from 0.79 to 0.92 for different facial areas. Statistical differences in pore severity among all four facial areas (cheek, forehead, nose, and overall) were observed, with the cheek exhibiting the most severe pore condition. Interestingly, Chinese men suffer from more severe pore condition than females. Multiple environmental factors exhibited strong correlations with cheek pore severity and were statistically fitted into linear regressions. Specifically, incremental risk with Each Low Temperature, Low Humidity, And High Solar Exposure correlate to worse cheek pore conditions. Although the Pearson correlation was low between cheek pore severity and light at night, comparison between representative cities demonstrated that in geologically similar cities, higher light at night corresponds to more severe cheek pore conditions.

Conclusion: Our study is showcasing a robust and reliable AI model in facial pore evaluation. More importantly, insights uncovered using this facile approach also bear significant cosmetic ramifications in treatment of pore enlargement.

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来源期刊
Skin Research and Technology
Skin Research and Technology 医学-皮肤病学
CiteScore
3.30
自引率
9.10%
发文量
95
审稿时长
6-12 weeks
期刊介绍: Skin Research and Technology is a clinically-oriented journal on biophysical methods and imaging techniques and how they are used in dermatology, cosmetology and plastic surgery for noninvasive quantification of skin structure and functions. Papers are invited on the development and validation of methods and their application in the characterization of diseased, abnormal and normal skin. Topics include blood flow, colorimetry, thermography, evaporimetry, epidermal humidity, desquamation, profilometry, skin mechanics, epiluminiscence microscopy, high-frequency ultrasonography, confocal microscopy, digital imaging, image analysis and computerized evaluation and magnetic resonance. Noninvasive biochemical methods (such as lipids, keratin and tissue water) and the instrumental evaluation of cytological and histological samples are also covered. The journal has a wide scope and aims to link scientists, clinical researchers and technicians through original articles, communications, editorials and commentaries, letters, reviews, announcements and news. Contributions should be clear, experimentally sound and novel.
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