Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.
- DOI
- 10.2196/86692
- Published
- 2026 Jun 3
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/86692,
title = {Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.},
author = {Soubh N and Rasenack E and Haarmann H and Wiedmann F and Zabel M and Schmidt C and Suliman R and Bergau L},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/86692},
url = {https://doi.org/10.2196/86692}
}RIS
TY - JOUR TI - Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation. AU - Soubh N AU - Rasenack E AU - Haarmann H AU - Wiedmann F AU - Zabel M AU - Schmidt C AU - Suliman R AU - Bergau L PY - 2026 JO - Journal of medical Internet research DO - 10.2196/86692 UR - https://doi.org/10.2196/86692 ER -
APA
N, S., E, R., H, H., F, W., M, Z., C, S., R, S., & L, B. (2026). Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.. Journal of medical Internet research. https://doi.org/10.2196/86692