Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (12): 1-6.doi: 10.6040/j.issn.1671-7554.0.2023.0773

• The innovation and challenge of artificial intelligence in medical imaging—Expert Overview •     Next Articles

Research progress in the application of artificial intelligence in myocardial imaging

Pei NIE1,Ximing WANG2,*()   

  1. 1. Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
    2. Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
  • Received:2023-08-30 Online:2023-12-10 Published:2024-01-11
  • Contact: Ximing WANG E-mail:wxming369@163.com

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Abstract:

Recently, artificial intelligence (AI) has shown great potential in myocardial imaging. AI algorithms achieve automatic segmentation and measurement of myocardial images thus optimizing the workflow. The quantitative features which characterized the pathological changes of myocardium were extracted through radiomics and deep learning techniques. These features may facilitate precise diagnosis and outcome prediction of ischemic and non-ischemic cardiomyopathies. In this review, we will introduce the research progress of AI in myocardial imaging from several aspects: AI-assisted image analysis, diagnosis and outcome evaluation of cardiomyopathies. The limitations of AI in myocardial imaging will also be discussed. We hope this review may provide references for further clinical application research of AI in myocardial imaging.

Key words: Artificial intelligence, Myocardium, Imaging

CLC Number: 

  • R816.2
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