Literature DB >> 35854041

2022 Artificial intelligence primer for the nuclear cardiologist.

Manish Motwani1,2.   

Abstract

Driven by advances in computing power, the past decade has seen rapid developments in artificial intelligence (AI) which now offers potential enhancements to every aspect of nuclear cardiology workflow including acquisition, reconstruction, segmentation, direct image analysis, and interpretation; as well as facilitating clinical and imaging big-data integration for superior personalized risk stratification. To understand the relevance and potential of AI in their field, this review provides a primer for nuclear cardiologists in 2022. The aim is to explain terminology and provide a summary of key current implementations, challenges, and future aspirations of AI-based enhancements to nuclear cardiology.
© 2022. Crown.

Entities:  

Keywords:  MPI; PET; SPECT; image analysis; image interpretation; image reconstruction

Year:  2022        PMID: 35854041     DOI: 10.1007/s12350-022-03049-7

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN: 1071-3581            Impact factor:   3.872


  5 in total

1.  Predictive values of left ventricular mechanical dyssynchrony for CRT response in heart failure patients with different pathophysiology.

Authors:  Zhuo He; Dianfu Li; Chang Cui; Hui-Yuan Qin; Zhongqiang Zhao; Xiaofeng Hou; Jiangang Zou; Ming-Long Chen; Cheng Wang; Weihua Zhou
Journal:  J Nucl Cardiol       Date:  2021-09-17       Impact factor: 3.872

2.  "Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.

Authors:  Edward P Ficaro; Venkatesh L Murthy; Tomoe Hagio; Alexis Poitrasson-Rivière; Jonathan B Moody; Jennifer M Renaud; Liliana Arida-Moody; Ravi V Shah
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-03-21       Impact factor: 10.057

3.  Early cardiac involvement in patients with acute COVID-19 infection identified by multiparametric cardiovascular magnetic resonance imaging.

Authors:  Bing-Hua Chen; Nan-Nan Shi; Chong-Wen Wu; Dong-Aolei An; Yu-Xin Shi; Luke D Wesemann; Jiani Hu; Jian-Rong Xu; Fei Shan; Lian-Ming Wu
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2021-07-20       Impact factor: 6.875

4.  Diagnostic Accuracy of Cardiovascular Magnetic Resonance for Cardiac Transplant Rejection: A Meta-Analysis.

Authors:  Donghee Han; Robert J H Miller; Yuka Otaki; Heidi Gransar; Evan Kransdorf; Michelle Hamilton; Michele Kittelson; Jignesh Patel; Jon A Kobashigawa; Louise Thomson; Daniel Berman; Balaji Tamarappoo
Journal:  JACC Cardiovasc Imaging       Date:  2021-07-14
  5 in total

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