Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis

AI models show promising diagnostic accuracy for RV assessment, but high heterogeneity and moderate evidence certainty necessitate cautious interpretation and further research.

Institutions

Publication Details

Journal
European Journal of Radiology Open
Published
2025-12-08
DOI
https://doi.org/10.1016/j.ejro.2025.100713
Citations
1
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
1.39
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article

Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis

1 citations
European Journal of Radiology Open
Cardiovascular Function and Risk Factors
1.39
article

Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis

article en
1 citations

Abstract

AI models show promising diagnostic accuracy for RV assessment, but high heterogeneity and moderate evidence certainty necessitate cautious interpretation and further research.

European Journal of Radiology OpenVol. 16
Hamedan University of Medical Sciences (IR), Shaheed Rajaei Cardiovascular Medical and Research Center (IR), Michigan State University (US)
Openalex Percentile: Top 12%
Cardiovascular Function and Risk Factors
1.39
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Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis · European Journal of Radiology Open (2025) | TGRS Research Map | TGRS