Prospect of artificial intelligence for the assessment of cardiac function and treatment of cardiovascular disease

Future CardiologyVol. 17, No. 2 EditorialProspect of artificial intelligence for the assessment of cardiac function and treatment of cardiovascular diseaseArash Kheradvar, Hamid Jafarkhani, Thomas Sloane Guy & John Paul FinnArash Kheradvar *Author for correspondence: Tel.: +1 949 824 6538; Fax: +1 949 824 9968; E-mail Address: arashkh@uci.eduhttps://orcid.org/0000-0003-3864-1359The Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, Irvine, CA 92697, USASearch for more papers by this author, Hamid Jafarkhani https://orcid.org/0000-0001-6838-8038Center for Pervasive Communications & Computing, University of California, Irvine, Irvine, CA 92697, USASearch for more papers by this author, Thomas Sloane Guy https://orcid.org/0000-0002-9250-4403Division of Cardiac Surgery, Department of Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USASearch for more papers by this author & John Paul Finn https://orcid.org/0000-0002-4534-7572Department of Radiological Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USASearch for more papers by this authorPublished Online:16 Sep 2020https://doi.org/10.2217/fca-2020-0128AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinkedInReddit View articleKeywords: artificial inteligencecardiac imagingcardiac surgeryechocardiographymachine learningPapers of special note have been highlighted as: • of interest; •• of considerable interestReferences1. 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Harvard Business Review 1–5 (2018). https://hbr.org/2018/03/ai-will-change-radiology-but-it-wont-replace-radiologists#comment-sectionGoogle ScholarFiguresReferencesRelatedDetails Vol. 17, No. 2 Follow us on social media for the latest updates Metrics Downloaded 163 times History Received 11 August 2020 Accepted 13 August 2020 Published online 16 September 2020 Published in print March 2021 Information© 2020 Future Medicine LtdKeywordsartificial inteligencecardiac imagingcardiac surgeryechocardiographymachine learningFinancial & competing interests disclosureThis work is partially funded by a grant from American Heart Association Data Grant Portfolio Artificial Intelligence and Machine Learning (19AIML35180067). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.No writing assistance was utilized in the production of this manuscript.PDF download