A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.

Hassan MAU, Mushtaq S, Rehman A, Al-Qaisi MA, Yang Z

DOI: 10.1186/s43044-025-00647-x
Published: 2025 May 29
Container: The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1186/s43044-025-00647-x,
  title = {A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.},
  author = {Hassan MAU and Mushtaq S and Rehman A and Al-Qaisi MA and Yang Z},
  year = {2025},
  journal = {The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology},
  doi = {10.1186/s43044-025-00647-x},
  url = {https://doi.org/10.1186/s43044-025-00647-x}
}

RIS

TY  - JOUR
TI  - A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.
AU  - Hassan MAU
AU  - Mushtaq S
AU  - Rehman A
AU  - Al-Qaisi MA
AU  - Yang Z
PY  - 2025
JO  - The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology
DO  - 10.1186/s43044-025-00647-x
UR  - https://doi.org/10.1186/s43044-025-00647-x
ER  -

APA

MAU, H., S, M., A, R., MA, A., & Z, Y. (2025). A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.. The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology. https://doi.org/10.1186/s43044-025-00647-x

Source records

pubmed · retrieved 2026-09-26T05:10:23.694Z