关键词: Artificial intelligence dandruff evaluation folliculitis prescription scalp

Mesh : Adult Humans Artificial Intelligence Scalp Dandruff Reproducibility of Results Cosmetics / therapeutic use Prescriptions

来  源:   DOI:10.1080/09546634.2024.2337908

Abstract:
Background: Scalp-related symptoms such as dandruff and itching are common with diverse underlying etiologies. We previously proposed a novel classification and scoring system for scalp conditions, called the scalp photographic index (SPI); it grades five scalp features using trichoscopic images with good reliability. However, it requires trained evaluators.Aim: To develop artificial intelligence (AI) algorithms for assessment of scalp conditions and to assess the feasibility of AI-based recommendations on personalized scalp cosmetics.Methods: Using EfficientNet, convolutional neural network (CNN) models (SPI-AI) ofeach scalp feature were established. 101,027 magnified scalp images graded according to the SPI scoring were used for training, validation, and testing the model Adults with scalp discomfort were prescribed shampoos and scalp serums personalized according to their SPI-AI-defined scalp types. Using the SPI, the scalp conditions were evaluated at baseline and at weeks 4, 8, and 12 of treatment.Results: The accuracies of the SPI-AI for dryness, oiliness, erythema, folliculitis, and dandruff were 91.3%, 90.5%, 89.6%, 87.3%, and 95.2%, respectively. Overall, 100 individuals completed the 4-week study; 43 of these participated in an extension study until week 12. The total SPI score decreased from 32.70 ± 7.40 at baseline to 15.97 ± 4.68 at week 4 (p < 0.001). The efficacy was maintained throughout 12 weeks.Conclusions: SPI-AI accurately assessed the scalp condition. AI-based prescription of tailored scalp cosmetics could significantly improve scalp health.
摘要:
背景:头皮屑和瘙痒等头皮相关症状很常见,有多种潜在病因。我们先前提出了一种新颖的头皮状况分类和评分系统,称为头皮摄影指数(SPI);它使用具有良好可靠性的显微镜图像对五种头皮特征进行分级。然而,它需要训练有素的评估人员。目的:开发用于评估头皮状况的人工智能(AI)算法,并评估基于AI的个性化头皮化妆品推荐的可行性。方法:使用EfficientNet,卷积神经网络(CNN)模型(SPI-AI)建立了头皮特征。101,027张根据SPI评分分级的放大头皮图像用于训练,验证,根据SPI-AI定义的头皮类型,对头皮不适的成年人进行了个性化的洗发水和头皮血清。使用SPI,在基线和治疗的第4,8和12周评估头皮状况.结果:SPI-AI对干燥的准确性,油性,红斑,毛囊炎,头皮屑占91.3%,90.5%,89.6%,87.3%,和95.2%,分别。总的来说,100个人完成了4周的研究;其中43人参加了扩展研究,直到第12周。SPI总评分从基线时的32.70±7.40下降至第4周的15.97±4.68(p<0.001)。功效在整个12周保持。结论:SPI-AI可准确评估头皮状况。基于AI的定制头皮化妆品处方可以显着改善头皮健康。
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