An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors

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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Institutions

Publication Details

Journal
Skin Research and Technology
Published
2024-09-01
DOI
https://doi.org/10.1111/srt.70025
Citations
2
Primary Topic
Skin Protection and Aging
Type
article
Field-Weighted Citation Impact
1.07
Controls
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article

An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors

Haidong Kan, Xia Meng, Nadine Pernodet, Danning Zeng et al.
2 citations
Skin Research and Technology
Skin Protection and Aging
1.07
article

An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors

Haidong Kan, Xia Meng, Nadine Pernodet, Danning Zeng, Xiaodi Wang, Su Shi, Liang Wu, Zi‐Tao Ma, Huanjun Zhou, Yajun Luo, Yulan Qu, Jin‐Yan Song, Hang Xie, Jian Cao, Yue Niu
article en
2 citations

Abstract

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.

Skin Research and TechnologyVol. 30(9)
Fudan University (CN), Estée Lauder (United States) (US)
Openalex Percentile: Top 20%
Skin Protection and Aging
1.07
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An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors — Haidong Kan, Xia Meng, et al. · Skin Research and Technology (2024) | TGRS Research Map | TGRS