Development and Independent Validation of a Machine Learning-Based Noninvasive Venous Waveform Analysis for Heart Failure Device to Estimate Pulmonary Capillary Wedge Pressure.

Alvis BD, Schmeckpeper J, Rali AS, Huston J, Tsai S, Amancherla K, Armstrong D, Gupta R, Mede A, Whitfield JS, Harder R, Miller K, Horne M, Wervey D, Pein R, Isanaka T, Case M, Gage A, Rajab M, Kumar A, Haglund N, Abouzaki N, Salinas G, Wise E, Perrien B, Brophy C, Lindenfeld J, Hocking K

Open source

DOI: 10.1016/j.cardfail.2026.08.010
Published: 2026 Aug 22
Container: Journal of cardiac failure
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.cardfail.2026.08.010,
  title = {Development and Independent Validation of a Machine Learning-Based Noninvasive Venous Waveform Analysis for Heart Failure Device to Estimate Pulmonary Capillary Wedge Pressure.},
  author = {Alvis BD and Schmeckpeper J and Rali AS and Huston J and Tsai S and Amancherla K and Armstrong D and Gupta R and Mede A and Whitfield JS and Harder R and Miller K and Horne M and Wervey D and Pein R and Isanaka T and Case M and Gage A and Rajab M and Kumar A and Haglund N and Abouzaki N and Salinas G and Wise E and Perrien B and Brophy C and Lindenfeld J and Hocking K},
  year = {2026},
  journal = {Journal of cardiac failure},
  doi = {10.1016/j.cardfail.2026.08.010},
  url = {https://doi.org/10.1016/j.cardfail.2026.08.010}
}

RIS

TY  - JOUR
TI  - Development and Independent Validation of a Machine Learning-Based Noninvasive Venous Waveform Analysis for Heart Failure Device to Estimate Pulmonary Capillary Wedge Pressure.
AU  - Alvis BD
AU  - Schmeckpeper J
AU  - Rali AS
AU  - Huston J
AU  - Tsai S
AU  - Amancherla K
AU  - Armstrong D
AU  - Gupta R
AU  - Mede A
AU  - Whitfield JS
AU  - Harder R
AU  - Miller K
AU  - Horne M
AU  - Wervey D
AU  - Pein R
AU  - Isanaka T
AU  - Case M
AU  - Gage A
AU  - Rajab M
AU  - Kumar A
AU  - Haglund N
AU  - Abouzaki N
AU  - Salinas G
AU  - Wise E
AU  - Perrien B
AU  - Brophy C
AU  - Lindenfeld J
AU  - Hocking K
PY  - 2026
JO  - Journal of cardiac failure
DO  - 10.1016/j.cardfail.2026.08.010
UR  - https://doi.org/10.1016/j.cardfail.2026.08.010
ER  -

APA

BD, A., J, S., AS, R., J, H., S, T., K, A., D, A., R, G., A, M., JS, W., R, H., K, M., M, H., D, W., R, P., T, I., M, C., A, G., M, R., A, K., N, H., N, A., G, S., E, W., B, P., C, B., J, L., & K, H. (2026). Development and Independent Validation of a Machine Learning-Based Noninvasive Venous Waveform Analysis for Heart Failure Device to Estimate Pulmonary Capillary Wedge Pressure.. Journal of cardiac failure. https://doi.org/10.1016/j.cardfail.2026.08.010

Source records

pubmed · retrieved 2026-09-25T08:09:32.443Z