Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual

Authors

  • Amanda Sofia Silva Mascarenhas
  • Marcelo Moreira da Silva
  • Renato Ramos Barra

DOI:

https://doi.org/10.34119/bjhrv4n2-304

Keywords:

Artificial Intelligence, Cardiology, Nuclear Medicine, Radiology.

Abstract

The aim of this article is to analyze the current overview of machine learning applied to cardiac imaging in nuclear medicine through a review of the recent literature. In recent years, new highly efficient artificial intelligence tools are revolutionizing the field of image analysis, being developed with the purpose of integrating the large volume of clinical and image information to improve the diagnosis of the disease and the risk estimate. The integration of artificial intelligence in daily clinical practice is being evaluated on several fronts and nuclear cardiology can benefit from the improvement in sensitivity, specificity, and diagnostic accuracy that the incorporation of these technologies can provide.

 

References

SEETHARAM, K.; et.al. Artificial Intelligence in Cardiovascular Medicine. Curr Treat Options Cardio Med, 2019;

SIEGERSMA, K.R.; et.al. Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologista. Neth Heart J, 2019;

FILHO, E.M.S.; et. al. Inteligência Artificial em Cardiologia: Conceitos, Ferramentas e Desafios – “Quem Corre é o Cavalo, Você Precisa ser o Jóquei”. Arq Bras Cardiol, 2019;

AKTOLUN, C. Artificial intelligence and radiomics in nuclear medicine: potentials and challenges. European Journal of Nuclear Medicine and Molecular Imaging, 2019;

BEAULIEU-JONES, B. et. al. Trends and focus of machine learning applications for health research. JAMA Network Open, 2019;

WEST, E. et. al. Global trend in artificial intelligence – based publications in radiology from 2000-2018. AJR, 2019;

NENSA, F.; DEMIRCIOGLU, A.; RISCHPLER, C. Artificial intelligence in nuclear medicine. The Journal of Nuclear Medicine, 2019;

VISVIKIS, D. et. al. Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications. European Journal of Nuclear Medicine and Molecular Imaging, 2019;

SLOMKA, P.J.; et. al. Application and Translation of Artificial Intelligence to Cardiovascular Imaging in Nuclear Medicine and Noncontrast CT. Seminars in Nuclear Medicine, 2020.

Published

2021-04-07

How to Cite

MASCARENHAS, A. S. S.; SILVA, M. M. da; BARRA, R. R. Artifical intelligence and nuclear cardiology - a current overview / Inteligência artifical e cardiologia nuclear – um panorama atual. Brazilian Journal of Health Review, [S. l.], v. 4, n. 2, p. 7678–7682, 2021. DOI: 10.34119/bjhrv4n2-304. Disponível em: https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/27838. Acesso em: 29 mar. 2024.

Issue

Section

Original Papers