Vidal-Perez R, Vazquez-Rodriguez JM. Role of artificial intelligence in cardiology. World J Cardiol 2023; 15(4): 116-118 [PMID: 37124979 DOI: 10.4330/wjc.v15.i4.116]
Corresponding Author of This Article
Rafael Vidal-Perez, FACC, FESC, PhD, Reader (Associate Professor), Staff Physician, Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, As Xubias de Arriba-84, A Coruña 15006, A Coruña, Spain. rafavidal@hotmail.com
Research Domain of This Article
Cardiac & Cardiovascular Systems
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Cardiol. Apr 26, 2023; 15(4): 116-118 Published online Apr 26, 2023. doi: 10.4330/wjc.v15.i4.116
Role of artificial intelligence in cardiology
Rafael Vidal-Perez, Jose Manuel Vazquez-Rodriguez
Rafael Vidal-Perez, Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, A Coruña 15006, A Coruña, Spain
Jose Manuel Vazquez-Rodriguez, Servicio de Cardiología, Complexo Hospitalario Universitario A Coruña, A Coruña 15006, A Coruña, Spain
Author contributions: Vidal-Perez R designed the study, performed the collection of the data, and wrote and edited the paper; Vazquez-Rodriguez JM contributed to the critical revision and editing of the paper.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Rafael Vidal-Perez, FACC, FESC, PhD, Reader (Associate Professor), Staff Physician, Servicio de Cardiología, Unidad de Imagen y Función Cardíaca, Complexo Hospitalario Universitario A Coruña Centro de Investigación Biomédica en Red-Instituto de Salud Carlos III, As Xubias de Arriba-84, A Coruña 15006, A Coruña, Spain. rafavidal@hotmail.com
Received: November 28, 2022 Peer-review started: November 28, 2022 First decision: January 5, 2023 Revised: January 19, 2023 Accepted: April 10, 2023 Article in press: April 10, 2023 Published online: April 26, 2023
Abstract
Artificial intelligence (AI) is the process of having a computational program that can perform tasks of human intelligence by mimicking human thought processes. AI is a rapidly evolving transdisciplinary field which integrates many elements to develop algorithms that aim to simulate human intuition, decision-making, and object recognition. The overarching aims of AI in cardiovascular medicine are threefold: To optimize patient care, improve efficiency, and improve clinical outcomes. In cardiology, there has been a growth in the potential sources of new patient data, as well as advances in investigations and therapies, which position the field well to uniquely benefit from AI. In this editorial, we highlight some of the main research priorities currently and where the next steps are heading us.
Core Tip: The main aims of artificial intelligence (AI) in cardiovascular medicine are triple: To improve patient care, increase efficiency, and enhance clinical outcomes. In cardiology, there has been a progress in the potential sources of new patient data, along with advances in diagnostic tests and therapies, which position this specialty well to uniquely gain from AI. For the prediction of the future probably, we must focus on the potential gaps and limitations of AI, knowing that elements will guide us on the new advances that we must expect in the years to come.
