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This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (586) Longitudinal and Cohort Studies in Public Health (922) e-Cardiology and Telemonitoring in Cardiology (288) Artificial Intelligence (4813)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83127, first published .
Doctor analyzing AI-ECG analysis LVSD prediction on a computer screen in a hospital

Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study

Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study

Authors of this article:

Sungjae Lee1 Author Orcid Image ;   Jung-Woo Son2 Author Orcid Image ;   Sung-Ai Kim3 Author Orcid Image ;   Min-Soo Ahn2 Author Orcid Image ;   Sang Jun Lee2 Author Orcid Image ;   Sang-Jin Han3 Author Orcid Image ;   Taehyun Joo1 Author Orcid Image ;   Yeongyeon Na1 Author Orcid Image ;   Sunghoon Joo1 Author Orcid Image ;   Hyun Jin Ahn1 Author Orcid Image ;   Mineok Chang1 Author Orcid Image ;   Yeha Lee1 Author Orcid Image ;   Young Jun Park4 Author Orcid Image
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Journals

  1. Osoro L, Arbelo E, Lane D, Mei D, Kozhuharov N, Zylla M, Collins B, Vardas P, Boriani G, Figueras J, Merino J, Pürerfellner H, Burri H, Casado-Arroyo R. From Algorithm Development to Clinical Implementation: A Systematic Review of Artificial Intelligence in Cardiovascular Medicine. Technologies 2026;14(8):511 View