Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.
- DOI
- 10.1007/s00059-026-05389-3
- Published
- 2026 Jul 17
- Container
- Herz
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s00059-026-05389-3,
title = {Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.},
author = {Shahverdi E and Shahverdi A and Kamali S and Herda LR},
year = {2026},
journal = {Herz},
doi = {10.1007/s00059-026-05389-3},
url = {https://doi.org/10.1007/s00059-026-05389-3}
}RIS
TY - JOUR TI - Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives. AU - Shahverdi E AU - Shahverdi A AU - Kamali S AU - Herda LR PY - 2026 JO - Herz DO - 10.1007/s00059-026-05389-3 UR - https://doi.org/10.1007/s00059-026-05389-3 ER -
APA
E, S., A, S., S, K., & LR, H. (2026). Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.. Herz. https://doi.org/10.1007/s00059-026-05389-3
Source records
- pubmed · retrieved 2026-09-25T12:53:52.197Z