ECG-based detection of occlusion myocardial infarction: a dedicated deep neural network versus multimodal large language models and physicians — a retrospective diagnostic accuracy study
- DOI
- 10.1186/s12873-026-01716-3
- Published
- 2026-08-07
- Container
- BMC Emergency Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12873-026-01716-3,
title = {ECG-based detection of occlusion myocardial infarction: a dedicated deep neural network versus multimodal large language models and physicians — a retrospective diagnostic accuracy study},
author = {Emin Hüseyin Akar and Kamil Kokulu and Ekrem Taha Sert},
year = {2026},
journal = {BMC Emergency Medicine},
doi = {10.1186/s12873-026-01716-3},
url = {https://doi.org/10.1186/s12873-026-01716-3}
}RIS
TY - JOUR TI - ECG-based detection of occlusion myocardial infarction: a dedicated deep neural network versus multimodal large language models and physicians — a retrospective diagnostic accuracy study AU - Emin Hüseyin Akar AU - Kamil Kokulu AU - Ekrem Taha Sert PY - 2026 JO - BMC Emergency Medicine DO - 10.1186/s12873-026-01716-3 UR - https://doi.org/10.1186/s12873-026-01716-3 ER -
APA
Akar, E. H., Kokulu, K., & Sert, E. T. (2026). ECG-based detection of occlusion myocardial infarction: a dedicated deep neural network versus multimodal large language models and physicians — a retrospective diagnostic accuracy study. BMC Emergency Medicine. https://doi.org/10.1186/s12873-026-01716-3
Source records
- crossref · retrieved 2026-09-26T22:45:39.492Z