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Facial adult female acne in China: An analysis based on artificial intelligence over one million.
Li, Tian-Hao; Ma, Xu-Da; Li, Zi-Ming; Yu, Nan-Ze; Song, Jin-Yan; Ma, Zi-Tao; Ying, Han-Ting; Zhou, Beibei; Huang, Jiu-Zuo; Wu, Liang; Long, Xiao.
Affiliation
  • Li TH; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Ma XD; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Li ZM; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Yu NZ; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Song JY; Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou, China.
  • Ma ZT; Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou, China.
  • Ying HT; Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou, China.
  • Zhou B; Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou, China.
  • Huang JZ; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wu L; Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou C2H4 Internet Technology Co., Ltd, Hangzhou, China.
  • Long X; Department of Plastic and Reconstructive Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Skin Res Technol ; 30(4): e13693, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38572573
ABSTRACT

BACKGROUND:

To further clarify the acne profile of Chinese adult women, we included 1,156,703 adult women. An artificial intelligence algorithm was used to analyze images taken by high-resolution mobile phones to further explore acne levels in Chinese adult women.

METHOD:

In this study, we assessed the severity of acne by evaluating patients' selfies through a smartphone application. Furthermore, we gathered basic user information through a questionnaire, including details such as age, gender, skin sensitivity, and dietary habits.

RESULTS:

This study showed a gradual decrease in acne severity from the age of 25 years. A trough was reached between the ages of 40 and 44, followed by a gradual increase in acne severity. In terms of skin problems and acne severity, we have found that oily skin, hypersensitive skin, frequent makeup application and unhealthy dietary habits can affect the severity of acne. For environment and acne severity, we observed that developed city levels, cold seasons and high altitude and strong radiation affect acne severity in adult women. For the results of the AI analyses, the severity of blackheads, pores, dark circles and skin roughness were positively associated with acne severity in adult women.

CONCLUSIONS:

AI analysis of high-res phone images in Chinese adult women reveals acne severity trends. Severity decreases after 25, hits a low at 40-44, then gradually rises. Skin type, sensitivity, makeup, diet, urbanization, seasons, altitude, and radiation impact acne. Blackheads, pores, dark circles, and skin roughness are linked to acne severity. These findings inform personalized skincare and public health strategies for adult women.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Acne Vulgaris Limits: Adult / Female / Humans Country/Region as subject: Asia Language: En Journal: Skin Res Technol Journal subject: DERMATOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Acne Vulgaris Limits: Adult / Female / Humans Country/Region as subject: Asia Language: En Journal: Skin Res Technol Journal subject: DERMATOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido