Trends and global productivity in artificial intelligence research in clinical neurology and neuroimaging: a bibliometric analysis from 1980 to 2024

Abstract

This bibliometric study examines the trends and global productivity of artificial intelligence (AI) research in clinical neurology and neuroimaging from 1980 to 2024. Data were retrieved from the Web of Science database, encompassing 5,020 publications focusing on AI in clinical neurology and neuroimaging. Among these, 2,687 were original research articles, predominantly published in English, with an average of 19.44 citations per article and an H-index of 90. Our analysis reveals a significant increase in publication activity, particularly after 2019, with the annual count peaking at 607 articles in 2024. The United States and China emerged as the leading contributors, and a strong positive correlation was found between publication productivity and both gross domestic product (GDP) and GDP purchasing power parity. However, no significant relationship was observed with the Human Development Index. Key research areas include radiology, psychiatry, and surgery, with machine learning and deep learning dominating the field. Regression models predict continued growth in AI-related research, underscoring its expanding role in advancing diagnostic and therapeutic strategies for neurological disorders. This study highlights the importance of interdisciplinary collaboration and high-impact journals in shaping the future of AI applications in clinical neurology and neuroimaging.

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