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

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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Bibliographic Details
Main Authors: Muhammad Arslan Ul Hassan, Sana Mushtaq, Abdul Rehman, Mohammed Abdulkarem Al-Qaisi, Zhen Yang
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:The Egyptian Heart Journal
Subjects:
Artificial intelligence
Electrocardiogram
ECG
Bibliometric analysis
Online Access:https://doi.org/10.1186/s43044-025-00647-x
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