A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram
Abstract Background Artificial intelligence (AI) is a modern tool that increases the diagnostic precision of the classical electrocardiogram (ECG). The objective of this bibliometric analysis was to identify the 50 most cited articles in the domain of AI in ECG, emphasizing publication trends, citat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | The Egyptian Heart Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43044-025-00647-x |
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