Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction-Reference-Cited by-同舟云学术

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Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction

Published:2024-06 Issue:3 Volume:14 Page:352-366
ISSN:2223-3652
Container-title:Cardiovascular Diagnosis and Therapy
language:
Short-container-title:Cardiovasc Diagn Ther

Author:

Park Jiesuck,Jeon Jaeik,Yoon Yeonyee E.,Jang Yeonggul,Kim Jiyeon,Jeong Dawun,Lee Jina,Hong Youngtaek,Ha Seongmin,Reza Arsanjani,Park Hyung-Bok,Lee Seung-Ah,Choi Hyejung,Choi Hong-Mi,Hwang In-Chang,Cho Goo-Yeong,Chang Hyuk-Jae

Publisher

AME Publishing Company

Link

https://cdt.amegroups.com/article/download/125581/pdf

Cited by 2 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. Artificial Intelligence-Enhanced Comprehensive Assessment of the Aortic Valve Stenosis Continuum in Echocardiography;2024-07-09

2. An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI;Korean Circulation Journal;2024

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