Wenna Wang, Frederic Flament, Hequn Wang, Chengda Ye, Ruowei Jiang, Jeff Houghton, Wei Liu
{"title":"面部老化分级：比较三位皮肤科医生的临床评估与基于人工智能的自拍图片评分系统的评估。以中国男女受试者为研究对象。","authors":"Wenna Wang, Frederic Flament, Hequn Wang, Chengda Ye, Ruowei Jiang, Jeff Houghton, Wei Liu","doi":"10.1111/ics.13016","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The objective of this study is to assess the correspondence, in live conditions, between clinical gradings of facial aging signs by three dermatologists and those afforded by an automatic AI-based algorithm that analyses smartphones' selfie images of Chinese subjects.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>In total, 125 Chinese subjects of both genders, aged 18–62y, took a selfie using their own smartphones and were immediately viewed by three dermatologists. The latter graded the severity of 15 facial signs in women and 9 in men, using the standardized values afforded by a Skin Aging Atlas referential dedicated to Asian skin. The data issued by both methodologies were then statistically compared.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The absolute gradings of the automatic system were found highly correlated with clinical assessments, with lower values in most cases. In women, large differences in absolute values were found on the gradings for size of isolated spot, cheek fold, spread macules, and texture of mouth contour women. Analysis of the Mean Absolute Errors (M.A.E) revealed that these rarely exceed 0.6 grading units in women and to a lesser extent in men.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The present study confirmed the value of the automatic system towards an extended use towards large human cohorts as a surrogate of clinical evaluations and allowed to detect the points where improvements must be brought to the system.</p>\n </section>\n </div>","PeriodicalId":13936,"journal":{"name":"International Journal of Cosmetic Science","volume":"47 1","pages":"113-122"},"PeriodicalIF":2.7000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Grading facial aging: Comparing the clinical assessments made by three dermatologists with those obtained by an AI-based scoring system that analyses selfie pictures. 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Grading facial aging: Comparing the clinical assessments made by three dermatologists with those obtained by an AI-based scoring system that analyses selfie pictures. A focus on Chinese subjects of both genders
Objective
The objective of this study is to assess the correspondence, in live conditions, between clinical gradings of facial aging signs by three dermatologists and those afforded by an automatic AI-based algorithm that analyses smartphones' selfie images of Chinese subjects.
Methods
In total, 125 Chinese subjects of both genders, aged 18–62y, took a selfie using their own smartphones and were immediately viewed by three dermatologists. The latter graded the severity of 15 facial signs in women and 9 in men, using the standardized values afforded by a Skin Aging Atlas referential dedicated to Asian skin. The data issued by both methodologies were then statistically compared.
Results
The absolute gradings of the automatic system were found highly correlated with clinical assessments, with lower values in most cases. In women, large differences in absolute values were found on the gradings for size of isolated spot, cheek fold, spread macules, and texture of mouth contour women. Analysis of the Mean Absolute Errors (M.A.E) revealed that these rarely exceed 0.6 grading units in women and to a lesser extent in men.
Conclusion
The present study confirmed the value of the automatic system towards an extended use towards large human cohorts as a surrogate of clinical evaluations and allowed to detect the points where improvements must be brought to the system.
期刊介绍：
The Journal publishes original refereed papers, review papers and correspondence in the fields of cosmetic research. It is read by practising cosmetic scientists and dermatologists, as well as specialists in more diverse disciplines that are developing new products which contact the skin, hair, nails or mucous membranes.
The aim of the Journal is to present current scientific research, both pure and applied, in: cosmetics, toiletries, perfumery and allied fields. Areas that are of particular interest include: studies in skin physiology and interactions with cosmetic ingredients, innovation in claim substantiation methods (in silico, in vitro, ex vivo, in vivo), human and in vitro safety testing of cosmetic ingredients and products, physical chemistry and technology of emulsion and dispersed systems, theory and application of surfactants, new developments in olfactive research, aerosol technology and selected aspects of analytical chemistry.
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