Next-generation smart wound dressings: AI integration, biosensors, and electrospun nanofibers for chronic wound therapy

. Molecular-level interactions between polymeric components and biological tissues facilitate both therapeutic delivery and diagnostic functionality. AI, including deep and federated learning, enhances these systems by enabling data-driven prediction of healing trajectories and personalized interventions. Key advances in flexible electronics, self-powered systems, and closed-loop feedback mechanisms further enhance clinical applicability. However, challenges remain, including the biochemical stability of sensors in enzyme-rich environments, secure wireless communication, and the lack of standardized datasets and clinical validation frameworks. This review critically examines recent progress in AI-integrated polymeric wound care systems, emphasizing the design of functional polymeric scaffolds, biosensor-polymer interfaces, and future directions, including biosensor miniaturization, multi-omics data integration, and scalable cloud-based platforms. A collaborative roadmap is proposed to advance these intelligent biomaterial systems toward clinical translation in chronic wound care.