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Rev Esp Cardiol (Engl Ed) · Dec 2019
ReviewApplications of Artificial Intelligence in Cardiology. The Future is Already Here.
- P Ignacio Dorado-Díaz, Jesús Sampedro-Gómez, Víctor Vicente-Palacios, and Pedro L Sánchez.
- Servicio de Cardiología, Hospital Universitario de Salamanca-Instituto de Investigación Biomédica de Salamanca (IBSAL), Universidad de Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.
- Rev Esp Cardiol (Engl Ed). 2019 Dec 1; 72 (12): 1065-1075.
AbstractThere is currently no other hot topic like the ability of current technology to develop capabilities similar to those of human beings, even in medicine. This ability to simulate the processes of human intelligence with computer systems is known as artificial intelligence (AI). This article aims to clarify the various terms that still sound foreign to us, such as AI, machine learning (ML), deep learning (DL), and big data. It also provides an in-depth description of the concept of AI and its types; the learning techniques and technology used by ML; cardiac imaging analysis with DL; and the contribution of this technological revolution to classical statistics, as well as its current limitations, legal aspects, and initial applications in cardiology. To do this, we conducted a detailed PubMed search on the evolution of original contributions on AI to the various areas of application in cardiology in the last 5 years and identified 673 research articles. We provide 19 detailed examples from distinct areas of cardiology that, by using AI, have shown diagnostic and therapeutic improvements, and which will aid understanding of ML and DL methodology.Copyright © 2019 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.
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