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Machine learning-based predictive model for the diagnosis of PH pulmonary hypertension diagnosis integrating cardiac magnetic resonance imaging and clinical biomarkers

Crossref DOI link: https://doi.org/10.1186/s12880-026-02254-x

Published Online: 2026-03-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cheng, Qian

Yang, Fan

Wu, Changrong

Xiao, Dan

Hao, Xiaojun

Jiang, Hongxia
Funding

Funding for this research was provided by:

The National Natural Science Foundation of China (8230078)
License Information

Text and Data Mining valid from 2026-03-09

Version of Record valid from 2026-04-15
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Article History

Received: 1 October 2025

Accepted: 23 February 2026

First Online: 9 March 2026

Declarations

:

: The study was approved by the Research Ethics Commission of Zhongnan Hospital of Wuhan Unviersity in accordance with the Declaration of Helsinki and the requirement for informed consent was waived by the Ethics Commission (Approval No.:2023185).

: Not applicable.

: The authors declare no competing interests.

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