AI empowered nursing of cognitive impairment: research status, hotspot analysis, and future trends

Abstract

Background: AI assists in cognitive impairment care by enabling data-driven approaches to reduce burden and increase efficiency. Methods: This system evaluation is based on the WOS core collection (retrieved as of June 13, 2025), using bibliometric methods to analyze the current status, hotspots, and trends of AI in the diagnosis and treatment of cognitive impairment from multiple dimensions such as publications, authors, funding, and patents. It also delves into high impact literature and reveals the potential synergistic effects of the two studies. Results: In this study, 7,285 articles from 200 journals and 119 countries were analyzed. Funding is mainly provided by the National Institutes of Health in the United States, followed by the National Natural Science Foundation of China and multinational corporations. The number of patents on artificial intelligence continues to grow, focusing on four major areas: medical imaging, new drug development, personalized treatment, and risk prediction, highlighting their critical role in addressing complex medical challenges. Conclusion: Research in the field of AI for cognitive impairment is developing rapidly, focusing on multi-source data and radiomics, but still faces challenges such as algorithm transfer, clinical validation, and interdisciplinary collaboration. In the future, it is necessary to strengthen international cooperation, promote the integration of explainable AI and real data, and improve the accuracy of diagnosis and treatment.

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