Skin scarring is a significant dermatological condition that profoundly impacts patients both physically and mentally, contributing to a substantial global disease burden. However, current management is hindered by several challenges, including subjective differential diagnosis, inconsistent disease assessment, a lack of targeted therapies, suboptimal treatment efficacy, and high recurrence rates. The rise of artificial intelligence (AI) has already proven to be a game changer in numerous areas of healthcare. This review comprehensively explores AI-driven advancements in current skin scarring management, including but not limited to precise diagnosis, automated severity assessment, AI-assisted surgical interventions, smart posttreatment monitoring, and new drug development. Additionally, AI-based virtual consultations and personalized treatment algorithms hold great potential for improving patient-centered care. Ultimately, we propose a multimodal AI-driven scar management system featuring an upstream “data harbor” public platform and downstream validations for personalized diagnosis and treatment, enhancing the intelligent optimization of clinical practices in skin-scarring management.
{"title":"Artificial Intelligence–Powered Strategies for Smart Skin Scarring Management","authors":"Zixin Wang, Hanrui Zhang, Yunhan Liu, Yingfei Sun, Wenzheng Xia, Yixuan Zhao, Yashan Gao, Yucong Lin, Xin Huang, Tao Zan","doi":"10.1155/dth/2874866","DOIUrl":"https://doi.org/10.1155/dth/2874866","url":null,"abstract":"<p>Skin scarring is a significant dermatological condition that profoundly impacts patients both physically and mentally, contributing to a substantial global disease burden. However, current management is hindered by several challenges, including subjective differential diagnosis, inconsistent disease assessment, a lack of targeted therapies, suboptimal treatment efficacy, and high recurrence rates. The rise of artificial intelligence (AI) has already proven to be a game changer in numerous areas of healthcare. This review comprehensively explores AI-driven advancements in current skin scarring management, including but not limited to precise diagnosis, automated severity assessment, AI-assisted surgical interventions, smart posttreatment monitoring, and new drug development. Additionally, AI-based virtual consultations and personalized treatment algorithms hold great potential for improving patient-centered care. Ultimately, we propose a multimodal AI-driven scar management system featuring an upstream “data harbor” public platform and downstream validations for personalized diagnosis and treatment, enhancing the intelligent optimization of clinical practices in skin-scarring management.</p>","PeriodicalId":11045,"journal":{"name":"Dermatologic Therapy","volume":"2025 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/dth/2874866","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145848140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Androgenetic alopecia (AGA) is the most common type of hair loss, with significant variations in prevalence across different ethnic groups, and it extensively affects the physical and mental health of men and women worldwide. The pathogenesis of this condition is complex, involving genetic predisposition, hormonal regulation, and environmental factors. In recent years, oxidative stress has been recognized as one of the key mechanisms in AGA. Oxidative stress refers to the imbalance between oxidation and antioxidation within cells, leading to the accumulation of reactive oxygen species (ROS), which can damage hair follicle cells, trigger apoptosis, and result in hair loss. Studies suggest that oxidative stress may interact with genetic factors and, under the influence of androgens, exacerbate damage to hair follicle cells, contributing to the onset and progression of AGA. This article aims to comprehensively review the role of oxidative stress in the mechanisms of AGA, analyzing existing research findings to provide new insights for treatment strategies.
{"title":"The Pathogenesis of Oxidative Stress in Androgenetic Alopecia","authors":"Dezhao Bi, Songmao Hua, Yunyao Hu, Jia Liu, Shun Guo","doi":"10.1155/dth/4548932","DOIUrl":"https://doi.org/10.1155/dth/4548932","url":null,"abstract":"<p>Androgenetic alopecia (AGA) is the most common type of hair loss, with significant variations in prevalence across different ethnic groups, and it extensively affects the physical and mental health of men and women worldwide. The pathogenesis of this condition is complex, involving genetic predisposition, hormonal regulation, and environmental factors. In recent years, oxidative stress has been recognized as one of the key mechanisms in AGA. Oxidative stress refers to the imbalance between oxidation and antioxidation within cells, leading to the accumulation of reactive oxygen species (ROS), which can damage hair follicle cells, trigger apoptosis, and result in hair loss. Studies suggest that oxidative stress may interact with genetic factors and, under the influence of androgens, exacerbate damage to hair follicle cells, contributing to the onset and progression of AGA. This article aims to comprehensively review the role of oxidative stress in the mechanisms of AGA, analyzing existing research findings to provide new insights for treatment strategies.</p>","PeriodicalId":11045,"journal":{"name":"Dermatologic Therapy","volume":"2025 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/dth/4548932","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}