Comment on "Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram".

Maddila SK, Meruga VB, Kanakamedala P

DOI: 10.1016/j.ijcrp.2026.200674
Published: 2026 Sep
Container: International journal of cardiology. Cardiovascular risk and prevention
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.ijcrp.2026.200674,
  title = {Comment on "Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram".},
  author = {Maddila SK and Meruga VB and Kanakamedala P},
  year = {2026},
  journal = {International journal of cardiology. Cardiovascular risk and prevention},
  doi = {10.1016/j.ijcrp.2026.200674},
  url = {https://doi.org/10.1016/j.ijcrp.2026.200674}
}

RIS

TY  - JOUR
TI  - Comment on "Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram".
AU  - Maddila SK
AU  - Meruga VB
AU  - Kanakamedala P
PY  - 2026
JO  - International journal of cardiology. Cardiovascular risk and prevention
DO  - 10.1016/j.ijcrp.2026.200674
UR  - https://doi.org/10.1016/j.ijcrp.2026.200674
ER  -

APA

SK, M., VB, M., & P, K. (2026). Comment on "Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram".. International journal of cardiology. Cardiovascular risk and prevention. https://doi.org/10.1016/j.ijcrp.2026.200674

Source records

pubmed · retrieved 2026-09-25T12:41:21.064Z