时间标签：数据日期 2026-10-31 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/28–2026/10/31 ｜ 情报发生日期 2026-10-31
研究问题
These figures vary, however, widely among adults with regard to genetic inheritance, exposure to life-threatening diseases, and geography.；Facial skin, as a marker of the aging process, whether chronological and/or photoinduced, displays different aspects over decades and is an important element of health span, including well-being [-].；Especially as a mirror of inner and invisible changes, facial skin could pave the way to exploring new holistic skin “clocks.” Yet, in the absence of biological measurements, visible facial aging should not be deemed equivalent to biological aging.
方法
The study followed a 5-fold structure: the acquisition of standardized full-face images from a cohort of North American women; the grading of visible facial signs by a panel of trained experts; the building of an AI-based automatic grading system; the evaluation of VA by an independent, naïve panel; and, finally, the calculation of the PVA.；The study was approved by L'Agence nationale de sécurité du médicament et des produits de santé (ANSM, France) under reference number 2025-A02830-49.；Oral and written consent, in accordance with the Declaration of Helsinki, was obtained from all participants related to the study objectives and procedures.；Participants also consented to the use of their images for publication.
核心结论
Considering the average of all ethnicities, the MAE values were below 0.3 for 11 signs, except for interocular and perioral lip wrinkles, which showed higher values.；Interestingly, the comparison of results between and clearly indicates that the automatic grading system induces less variability and better reliability than that of the panel of trained experts, regardless of ethnicity or facial clinical sign.；Indeed, the MAE values obtained suggest 2 or 3 times lower errors and variability for the automatic grading system compared with the experts’ panel. ‖ 结论：These findings support the potential use of AI-based facial assessment as a reproducible digital outcome for facial aging research and longitudinal monitoring.
局限
Although the inclusion of women of East Asian ancestry, African ancestry, and European ancestry increased diversity within the development dataset, it does not establish fairness or generalizability to all populations.；However, such work represents a future research perspective.；Another challenge lies in the accessibility of these advanced, expensive, and specialized tools in POS or clinics, limiting their availability to a broader patient population.
对本项目的价值
★☆☆☆☆ 方法学进展决定我们能否在有限样本下检出真实效应，属基础设施级收益。
全文来源
PMC JATS 全文（正文 33,501 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：AI-Based Grading of Facial Aging Signs and Prediction of Visible Age From Standardized Facial Images: Algorithm Development and Internal Evaluation Study.
- 期刊与标识：JMIR Dermatol · PMID 42950221 · DOI 10.2196/93236
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
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