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.
Artificial Intelligence in Cardiology: Concepts, Tools and Challenges – “The Horse is the One Who Runs, You Must Be the Jockey”
Souza FilhoEM, FernandesFA, SoaresCLA, SeixasFL, SantosAASM, GismondiRA, MesquitaET, et al. Artificial Intelligence in Cardiology: Concepts, Tools and Challenges – “The Horse is the One Who Runs, You Must Be the Jockey”. Arq. Bras. Cardiol. 2020;114(4):718-25.
Souza Filho,Erito Marques de; Fernandes,Fernando de Amorim; Soares,Celine Lacerda de Abreu; Seixas,Flavio Luiz; Santos,Alair Augusto Sarmet M.D. dos; Gismondi,Ronaldo Altenburg; Mesquita,Evandro Tinoco; Mesquita,Claudio Tinoco. Artificial Intelligence in Cardiology: Concepts, Tools and Challenges – “The Horse is the One Who Runs, You Must Be the Jockey”. Arq. Bras. Cardiol., v. 114, n. 4, p. 718-725, May. 2020.
Souza Filho,E.M. , Fernandes,F.A., Soares,C.L.A., Seixas,F.L., Santos,A.A.S.M. , Gismondi,R.A., Mesquita,E.T., & Mesquita,C.T. (2020). Artificial Intelligence in Cardiology: Concepts, Tools and Challenges – “The Horse is the One Who Runs, You Must Be the Jockey”. Arq. Bras. Cardiol.,114(4), 718-725.
Souza Filho,Erito Marques de and Fernandes,Fernando de Amorim and Soares,Celine Lacerda de Abreu and Seixas,Flavio Luiz and Santos,Alair Augusto Sarmet M.D. dos and Gismondi,Ronaldo Altenburg and Mesquita,Evandro Tinoco and Mesquita,Claudio Tinoco. Artificial Intelligence in Cardiology: Concepts, Tools and Challenges – “The Horse is the One Who Runs, You Must Be the Jockey”. Arq. Bras. Cardiol. [online]. 2020, vol. 114, n. 4, [cited 2025-10-24], pp.718-725. Available from: <https://abccardiol.org/en/article/artificial-intelligence-in-cardiology-concepts-tools-and-challenges-the-horse-is-the-one-who-runs-you-must-be-the-jockey/>. ISSN 0066-782X.
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.