Artificial Intelligence in ECG Interpretation and Clinical Application

LIU Xia

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Artificial Intelligence in ECG Interpretation and Clinical Application

Special Feature | 更新时间：2026-01-06

- Artificial Intelligence in ECG Interpretation and Clinical Application
- J Clin Electrocardiol Vol. 34, Issue 6, Pages: 411-413(2025)
- 作者机构：
  
  200025 上海，上海交通大学医学院附属瑞金医院心脏科
- 作者简介：
- 基金信息：
- DOI：
  CLC： R541.7　R540.4
- Received：15 November 2025，
  
  Published：28 December 2025
- 稿件说明：
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刘霞. 人工智能在ECG解读与临床应用[J]. 临床心电学杂志, 2025, 34(6): 411-413.

LIU Xia. Artificial Intelligence in ECG Interpretation and Clinical Application[J]. J Clin Electrocardiol, 2025, 34(6): 411-413.
刘霞. 人工智能在ECG解读与临床应用[J]. 临床心电学杂志, 2025, 34(6): 411-413. DOI：

LIU Xia. Artificial Intelligence in ECG Interpretation and Clinical Application[J]. J Clin Electrocardiol, 2025, 34(6): 411-413. DOI：

摘要

一个多世纪以来，心电图在诊断心律失常、缺血/梗死及心肌肥厚方面的价值无可争议。在当前临床实践中，为确保诊断安全性，采用计算机辅助分析的诊断仍需医师进行最终复核判读。人工智能在心电图判读演进中的真正意义，远不止于实现自动化。人工智能正不断展现并验证其在心电图和发现心脏病变迹象方面的价值。在可预见的未来，人工智能应被设计用于增强而非取代人类的临床判断。

Abstract

For over a century

the electrocardiogram (ECG) in diagnosing arrhythmias

ischemia/infarction

and hypertrophy is undisputed. In current clinical practice

the diagnosis with computerized interpretation algorithms

still necessitate a final physician re-read to ensure diagnostic safety. The true significance of artificial intelligence (AI) in the evolution of ECG interpretation extends far beyond mere automation. AI is seeing and validating its value in ECG interpretation and detecting signs of heart disease. For the foreseeable future

AI should be designed to augment

not automate

human clinical judgment.

关键词

Keywords

references

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