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Lymphoma, including Hodgkin and non-Hodgkin types, is increasingly prevalent, especially among the elderly, necessitating improved diagnostic and treatment methods.
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Artificial intelligence (AI) offers innovative solutions for lymphoma research, enhancing diagnosis, treatment prediction, and clinical decision-making.
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The bibliometric analysis of AI in lymphoma research aims to identify current trends, research hotspots, and future directions in this evolving field.
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Data for the analysis were sourced from the Web of Science, focusing on publications from 2010 to 2024 that specifically address AI applications in lymphoma.
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Visualization tools like CiteSpace and VOSviewer were employed to analyze and present complex networks of research collaborations and thematic keywords.
