Artificial Intelligence-A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome

Ming-Hao Liu; Chen Zhao; Shengfang Wang; Haibo Jia; Bo Yu

doi:10.3389/fcvm.2021.782971

Artificial Intelligence-A Good Assistant to Multi-Modality Imaging in Managing Acute Coronary Syndrome

Front Cardiovasc Med. 2022 Feb 16:8:782971. doi: 10.3389/fcvm.2021.782971. eCollection 2021.

Authors

Ming-Hao Liu^{1

2}, Chen Zhao^{1

2}, Shengfang Wang^{1

2}, Haibo Jia^{1

2}, Bo Yu^{1

2}

Affiliations

¹ Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
² The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.

Abstract

Acute coronary syndrome is the leading cause of cardiac death and has a significant impact on patient prognosis. Early identification and proper management are key to ensuring better outcomes and have improved significantly with the development of various cardiovascular imaging modalities. Recently, the use of artificial intelligence as a method of enhancing the capability of cardiovascular imaging has grown. AI can inform the decision-making process, as it enables existing modalities to perform more efficiently and make more accurate diagnoses. This review demonstrates recent applications of AI in cardiovascular imaging to facilitate better patient care.

Keywords: acute coronary syndrome; artificial intelligence; computed tomography; coronary angiography; intravascular ultrasound; machine learning; magnetic resonance; optical coherence tomography.

Publication types

Review