RETRACTED: Facial adult female acne in China: An analysis based on artificial intelligence over one million

痤疮 医学 情感(语言学) 皮肤病科 年轻人 内科学 心理学 沟通
作者
Tian‐Hao Li,Xu‐Da Ma,Ziming Li,Nanze Yu,Jin‐Yan Song,Zi‐Tao Ma,Han‐ting Ying,Beibei Zhou,Jiuzuo Huang,Liang Wu,Xiao Long
出处
期刊:Skin Research and Technology [Wiley]
卷期号:30 (4): e13693-e13693 被引量:11
标识
DOI:10.1111/srt.13693
摘要

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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