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Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular Function.

作者信息

Duong Son Q, Dominy Calista L, Lampert Joshua, Singh Supreet, Croft Lori, Zaidi Ali N, Lerakis Stamatios, Goldman Martin E, Vaid Akhil, Nadkarni Girish N

机构信息

Mount Sinai Kravis Children's Heart Center, The Mount Sinai Hospital, New York, New York, USA.

Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

出版信息

JACC Adv. 2024 Aug 21;3(9):101186. doi: 10.1016/j.jacadv.2024.101186. eCollection 2024 Sep.

DOI:10.1016/j.jacadv.2024.101186
PMID:39372469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11450963/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a1/11450963/0f9fc1edbc21/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a1/11450963/0f9fc1edbc21/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a1/11450963/0f9fc1edbc21/gr1.jpg

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1
Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular Function.多模态心电图和超声心动图数据的集成建模改善了右心室功能的定量评估。
JACC Adv. 2024 Aug 21;3(9):101186. doi: 10.1016/j.jacadv.2024.101186. eCollection 2024 Sep.
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本文引用的文献

1
Quantitative Prediction of Right Ventricular Size and Function From the ECG.心电图定量预测右心室大小和功能。
J Am Heart Assoc. 2024 Jan 2;13(1):e031671. doi: 10.1161/JAHA.123.031671. Epub 2023 Dec 29.
2
Validation of American Society of Echocardiography Guideline-Recommended Parameters of Right Ventricular Dysfunction Using Artificial Intelligence Compared With Cardiac Magnetic Resonance Imaging.采用人工智能技术对美国超声心动图学会指南推荐的右心功能障碍参数进行验证，与心脏磁共振成像相比。
J Am Soc Echocardiogr. 2023 Sep;36(9):967-977. doi: 10.1016/j.echo.2023.05.015. Epub 2023 Jun 17.
3
Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging.
超声心动图成人左心室容量和射血分数测量：美国超声心动图学会和欧洲心血管影像协会的更新建议。
J Am Soc Echocardiogr. 2015 Jan;28(1):1-39.e14. doi: 10.1016/j.echo.2014.10.003.