Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management-Reference-Cited by-同舟云学术

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Artificial intelligence-driven electrocardiography: Innovations in hypertrophic cardiomyopathy management

Published:2024-08 Issue: Volume: Page:
ISSN:1050-1738
Container-title:Trends in Cardiovascular Medicine
language:en
Short-container-title:Trends in Cardiovascular Medicine

Author:

Ordine Leopoldo,Canciello Grazia,Borrelli Felice,Lombardi Raffaella,Di Napoli Salvatore,Polizzi Roberto,Falcone Cristina,Napolitano Brigida,Moscano Lorenzo,Spinelli Alessandra,Masciari Elio,Esposito Giovanni,Losi Maria-Angela^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. 2023 ESC Guidelines for the management of cardiomyopathies: developed by the task force on the management of cardiomyopathies of the European Society of Cardiology (ESC);Arbelo;Eur Heart J,2023

2. 2024 AHA/ACC/AMSSM/HRS/PACES/SCMR Guideline for the Management of Hypertrophic Cardiomyopathy;Ommen;J Am Coll Cardiol,2024

3. Next Generation ECG: the Impact of Artificial Intelligence and Machine Learning;Adasuriya;Curr Cardiovasc Risk Rep,2023

4. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging;Al'Aref;Eur Heart J,2019

5. Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances;Lyon;J R Soc Interface,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Is it finally prime time for artificial intelligence to improve the care of patients with hypertrophic cardiomyopathy?;Trends in Cardiovascular Medicine;2024-08

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