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

• Published in: Arquivos brasileiros de cardiologia Vol. 114; no. 4; p. 718
• Main Authors: 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
• Format: Journal Article
• Language: English; Portuguese
• Published: Brazil Sociedade Brasileira de Cardiologia - SBC 01.04.2020; Sociedade Brasileira de Cardiologia (SBC)
• Subjects: Artificial Intelligence/trends; CARDIAC & CARDIOVASCULAR SYSTEMS; Cardiovascular Diseases; Clinical Decision-Making; Computer Systems/trends; Machine Learning/trends; Artificial Intelligence/trends; Cardiovascular Diseases; Clinical Decision-Making; Doenças Cardiovasculares; Aprendizado de Máquina/tendências; Machine Learning/trends; Inteligência Artificial/tendências; Computer Systems/trends; Sistemas de Computação/tendências; Tomada de Decisão Clínica
• ISSN: 1678-4170; 1678-4170
• DOI: 10.36660/abc.20180431

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.