Global Research Trends in Artificial Intelligence-Driven Conductive Bioinks for Wound Healing: A Bibliometric Analysis (2021–2025)
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Abstract
Artificial intelligence (AI), conductive bioinks, and advanced wound healing technologies are among the fastest-growing areas at the intersection of regenerative medicine and tissue engineering. This study mapped global research trends in AI-enabled conductive bioinks for wound healing from 2021 to 2025, examining collaboration networks, thematic development, and influential publications. Bibliometric analysis was performed on data retrieved from the Dimensions database, using Bibliometrix and VOSviewer for statistical and visual analyses. Annual scientific output showed a clear upward trajectory, reaching its highest level in 2025, based on records available up to the search date of January 15, 2026. China, India, and the United States led in publication volume, while the United States stood out for the breadth and strength of its international collaboration networks. Keyword co-occurrence mapping revealed three dominant thematic clusters centered on hydrogels, tissue engineering, and 3D printing with polymer science. “Skin” and “3D bioprinting” had the highest domain-specific relevance scores, reflecting a growing focus on skin regeneration and smart wound care. Highly cited publications addressed advanced bioprinting, conductive biomaterials, smart wound dressings, wearable biosensors, and AI-assisted regenerative strategies. Overall, the findings highlight a meaningful convergence of AI, biomaterials science, and wound healing research, with momentum building around intelligent material design, real-time wound monitoring, and precision medicine approaches. This analysis offers a structured view of the field’s intellectual development and serves as a useful reference for researchers and innovators working on next-generation wound care solutions.
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