Artificial Intelligence–Powered Strategies for Smart Skin Scarring Management

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.