Applications of Artificial Intelligence in Cardiac Electrophysiology and
Clinical Diagnosis with Magnetic Resonance Imaging and
Computational Modeling Techniques

doi:10.1007/s12204-023-2628-5

Abstract

Abstract: The underlying electrophysiological mechanisms and clinical treatments of cardiovascular diseases, which are the most common cause of morbidity and mortality worldwide, have gotten a lot of attention and been widely explored in recent decades. Along the way, techniques such as medical imaging, computing modeling, and artificial intelligence (AI) have always played significant roles in above studies. In this article, we illustrated the applications of AI in cardiac electrophysiological research and disease prediction. We summarized general principles of AI and then focused on the roles of AI in cardiac basic and clinical studies incorporating magnetic resonance imaging and computing modeling techniques. The main challenges and perspectives were also analyzed.

Key words: artificial intelligence (AI), magnetic resonance imaging, computing modeling, cardiovascular disease

摘要： 心血管疾病是导致死亡的最常见的原因之一。一直以来，其内在的电生理机制和临床治疗方法都广受关注，而医学成像、计算建模和人工智能是其中非常重要的研究技术。本文概括了人工智能的基本原理，并重点论述了人工智能结合磁共振成像和计算建模在心脏基础与临床研究中的应用，并探讨了这些技术目前面临的挑战及发展前景。

关键词: 人工智能，磁共振成像，计算模型，心血管疾病

CLC Number:

ZHAN Heqing¹(詹何庆), HAN Guilai¹ (韩贵来), WEI Chuan’an¹ (魏传安), LI Zhiqun^2* (李治群). Applications of Artificial Intelligence in Cardiac Electrophysiology and Clinical Diagnosis with Magnetic Resonance Imaging and Computational Modeling Techniques[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 53-65.

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Applications of Artificial Intelligence in Cardiac Electrophysiology and Clinical Diagnosis with Magnetic Resonance Imaging and Computational Modeling Techniques

人工智能结合磁共振成像和计算建模在心脏电生理与临床诊断中的应用

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