Bibliometric analysis of 100 top cited articles of heart failure-associated diseases in combination with machine learning.

Front Cardiovasc Med · 2023 · PMC10248156 · PMID 37304963

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Conclusion Our analysis also depicted research trends of AI-related health research: (i) the growth rate of heart failure–related ML publications has grown rapidly in the past two decades and the rate showed a trend of continuous growth; (ii) high-income countries are the main force of HF-related AI research; (iii) ML is being increasingly employed in the field of heart failure.

also in 53,322 other papers

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