An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI-Reference-Cited by-同舟云学术

An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI

Published:2024 Issue: Volume:54 Page:
ISSN:1738-5520
Container-title:Korean Circulation Journal
language:en
Short-container-title:Korean Circ J

Author:

Jang Yeonggul¹²^ORCID,Choi Hyejung³⁴^ORCID,Yoon Yeonyee E.²³⁴^ORCID,Jeon Jaeik¹²^ORCID,Kim Hyejin²^ORCID,Kim Jiyeon¹⁵^ORCID,Jeong Dawun¹⁵^ORCID,Ha Seongmin¹²⁶^ORCID,Hong Youngtaek¹²^ORCID,Lee Seung-Ah¹²^ORCID,Park Jiesuck³⁴^ORCID,Choi Wonsuk⁴⁷^ORCID,Choi Hong-Mi³⁴^ORCID,Hwang In-Chang³⁴^ORCID,Cho Goo-Yeong³⁴^ORCID,Chang Hyuk-Jae¹²⁸^ORCID

Affiliation:

1. CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Korea.

2. Ontact Health Inc., Seoul, Korea.

3. Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

4. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

5. Department of Internal Medicine, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.

6. Graduate School of Biomedical Engineering, Yonsei University College of Medicine, Seoul, Korea.

7. Cardiovascular Center, Sheikh Khalifa Specialty Hospital, Ras Al Khaimah, United Arab Emirates.

8. Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Korea.

Funder

Institute of Information & Communications Technology Planning & Evaluation

Publisher

XMLink

Link

https://e-kcj.org/pdf/10.4070/kcj.2024.0060

Reference29 articles.

1. Artificial Intelligence and Echocardiography

2. Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

3. Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography

4. Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study

5. Influence of Ejection Fraction on Cardiovascular Outcomes in a Broad Spectrum of Heart Failure Patients