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

Huanjun ZhouHang XieLiang WuJinYan SongZitao MaDanning ZengXiaodi WangSu ShiYulan QuYajun LuoXia MengYue NiuHaidong KanJian CaoNadine Pernodet

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2024)

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.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
risk factors
quantum dots
gold nanoparticles
highly efficient
reduced graphene oxide
visible light