Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.

Park J, Kim J, Jeon J, Yoon YE, Jang Y, Jeong H, Hong Y, Lee SA, Choi HM, Hwang IC, Cho GY, Chang HJ

DOI: 10.1016/j.ebiom.2025.105560
Published: 2025 Feb
Container: EBioMedicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.ebiom.2025.105560,
  title = {Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.},
  author = {Park J and Kim J and Jeon J and Yoon YE and Jang Y and Jeong H and Hong Y and Lee SA and Choi HM and Hwang IC and Cho GY and Chang HJ},
  year = {2025},
  journal = {EBioMedicine},
  doi = {10.1016/j.ebiom.2025.105560},
  url = {https://doi.org/10.1016/j.ebiom.2025.105560}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.
AU  - Park J
AU  - Kim J
AU  - Jeon J
AU  - Yoon YE
AU  - Jang Y
AU  - Jeong H
AU  - Hong Y
AU  - Lee SA
AU  - Choi HM
AU  - Hwang IC
AU  - Cho GY
AU  - Chang HJ
PY  - 2025
JO  - EBioMedicine
DO  - 10.1016/j.ebiom.2025.105560
UR  - https://doi.org/10.1016/j.ebiom.2025.105560
ER  -

APA

J, P., J, K., J, J., YE, Y., Y, J., H, J., Y, H., SA, L., HM, C., IC, H., GY, C., & HJ, C. (2025). Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.. EBioMedicine. https://doi.org/10.1016/j.ebiom.2025.105560

Source records

pubmed · retrieved 2026-09-26T19:45:20.804Z