Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis.

Makimoto H, Okatani T, Suganuma M, Kabutoya T, Kohro T, Agata Y, Ogata Y, Harada K, Llubani R, Bejinariu A, Rana OR, Makimoto A, Gharib E, Meissner A, Kelm M, Kario K

Open source

DOI: 10.3390/bioengineering11111069
Published: 2024 Oct 26
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering11111069,
  title = {Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis.},
  author = {Makimoto H and Okatani T and Suganuma M and Kabutoya T and Kohro T and Agata Y and Ogata Y and Harada K and Llubani R and Bejinariu A and Rana OR and Makimoto A and Gharib E and Meissner A and Kelm M and Kario K},
  year = {2024},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering11111069},
  url = {https://doi.org/10.3390/bioengineering11111069}
}

RIS

TY  - JOUR
TI  - Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis.
AU  - Makimoto H
AU  - Okatani T
AU  - Suganuma M
AU  - Kabutoya T
AU  - Kohro T
AU  - Agata Y
AU  - Ogata Y
AU  - Harada K
AU  - Llubani R
AU  - Bejinariu A
AU  - Rana OR
AU  - Makimoto A
AU  - Gharib E
AU  - Meissner A
AU  - Kelm M
AU  - Kario K
PY  - 2024
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering11111069
UR  - https://doi.org/10.3390/bioengineering11111069
ER  -

APA

H, M., T, O., M, S., T, K., T, K., Y, A., Y, O., K, H., R, L., A, B., OR, R., A, M., E, G., A, M., M, K., & K, K. (2024). Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering11111069

Source records

pubmed · retrieved 2026-09-26T16:40:13.477Z