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Real-time deep learning interpretation of echocardiographic video for automated detection of anatomical features associated with tetralogy of fallot in pediatric patients : a feasibility study

Crossref DOI link: https://doi.org/10.1038/s41598-026-45943-x

Published Online: 2026-04-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kim, Mi Jin https://orcid.org/0000-0001-9472-3581
Yu, Jeong Jin https://orcid.org/0000-0003-1601-3685
Cha, Seulgi https://orcid.org/0000-0001-7470-9774
Baek, Jae Suk https://orcid.org/0000-0002-0083-8730
Yang, Dongha

Jang, Yeon Jin https://orcid.org/0000-0001-7350-5534
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Text and Data Mining valid from 2026-04-05

Version of Record valid from 2026-05-27
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Article History

Received: 18 July 2025

Accepted: 23 March 2026

First Online: 5 April 2026

Declarations

:

: The authors declare no competing interests.