Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Apr;114(4):718-725.
doi: 10.36660/abc.20180431. Epub 2020 May 29.

Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - "The Horse is the One Who Runs, You Must Be the Jockey"

[Article in English, Portuguese]
Erito Marques de Souza Filho  1   2 , Fernando de Amorim Fernandes  1 , Celine Lacerda de Abreu Soares  1 , Flavio Luiz Seixas  1 , Alair Augusto Sarmet M D Dos Santos  1 , Ronaldo Altenburg Gismondi  1 , Evandro Tinoco Mesquita  1 , Claudio Tinoco Mesquita  1
Affiliations

Artificial Intelligence in Cardiology: Concepts, Tools and Challenges - "The Horse is the One Who Runs, You Must Be the Jockey"

[Article in English, Portuguese]
Erito Marques de Souza Filho et al. Arq Bras Cardiol. 2020 Apr.

Abstract

The recent advances at hardware level and the increasing requirement of personalization of care associated with the urgent needs of value creation for the patients has helped Artificial Intelligence (AI) to promote a significant paradigm shift in the most diverse areas of medical knowledge, particularly in Cardiology, for its ability to support decision-making and improve diagnostic and prognostic performance. In this context, the present work does a non-systematic review of the main papers published on AI in Cardiology, focusing on its main applications, potential impacts and challenges.

PubMed Disclaimer

Conflict of interest statement

Potencial conflito de interesses

Declaro não haver conflito de interesses pertinentes.

Figures

Figura 1
Figura 1. – Evolução do número de trabalhos relacionados (Inteligência Artificial ou Aprendizado de Máquina, ou Aprendizado Automático) e Cardiologia. Fonte: Pubmed. Acessado em 15/12/2018. Palavras do Medical Subject Headings (MeSH): Cardiologia e Aprendizado de Máquina.
Figura 2
Figura 2. – Ilustração principal.
Figure 1
Figure 1. – Evolution of the number of works relating (Artificial Intelligence or Machine Learning) and Cardiology. Source: Pubmed. Accessed on 12/15/2018. Mesh Words: Cardiology and Machine Learning.
Figure 2
Figure 2. – Main Illustration.
See this image and copyright information in PMC

References

    1. Goodfellow I, Bengio Y, Courville A. Deep Learning. Cambridge: MIT Press; 2016.
    1. Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. 441Curr Cardiol Rep. 2014;16(1) - PubMed
    1. Michel JB, Sangha DM, Erwin JP., 3rd Burnout among cardiologists. Am J Cardiol. 2017;119(6):938–940. - PubMed
    1. Rotenstein LS, Torre M, Ramos MA, Rosales RC, Guille C, Sen S, et al. Prevalence of burnout among physicians: a systematic review. JAMA. 2018;320(11):1131–1150. - PMC - PubMed
    1. Macary MA, Daniel M. Medical error – the third leading cause of death in the US. i2139BMJ. 2016 May 3;353 - PubMed